And some people will even tell you to spend time learning advanced math.<\/p>\n
It can be a little overwhelming.<\/p>\n
Additionally, a lot of material online is either confusing or poorly structured.<\/p>\n
So it can be very confusing to figure out exactly what to learn, and how to learn it.<\/p>\n
[\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font=”|600|||||||” text_text_color=”#122f47″ text_font_size=”50px” text_line_height=”1.4em” text_orientation=”center” custom_margin=”25px||25px||true|false” text_font_size_tablet=”50px” text_font_size_phone=”30px” text_font_size_last_edited=”on|phone” locked=”off” global_colors_info=”{}”]<\/p>\n
Problem 2:
It’s Hard to Find Time<\/p>\n
[\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font=”||||||||” text_font_size=”20px” custom_padding=”||7px|||” text_font_size_tablet=”” text_font_size_phone=”” text_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}”]<\/p>\n
Data science is hard enough for most people.<\/p>\n
But the general difficulty is made worse by another factor.<\/p>\n
Time.<\/p>\n
It’s very hard to find time.<\/strong><\/p>\n You’re busy, right?<\/p>\n Work, friends, social life, maybe a hobby or two.<\/p>\n You have a busy life and it’s hard to find time to master data science programming languages and techniques.<\/p>\n And to top it off, I bet you forget a lot of what you learn.<\/p>\n Have you ever learned some Python syntax, and the forgotten it?<\/p>\n It’s very common …<\/p>\n But forgetting the things you learn will make it even harder.<\/p>\n Because you’ll waste even more time re-learning things.<\/p>\n Finding enough time to study, practice, and master data science is a big challenge.<\/p>\n <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font=”|600|||||||” text_text_color=”#122f47″ text_font_size=”50px” text_line_height=”1.4em” text_orientation=”center” custom_margin=”25px||25px||true|false” text_font_size_tablet=”50px” text_font_size_phone=”30px” text_font_size_last_edited=”on|phone” locked=”off” global_colors_info=”{}”]<\/p>\n Problem 3: [\/et_pb_text][et_pb_text _builder_version=”4.22.1″ text_font=”||||||||” text_font_size=”20px” custom_padding=”||7px|||” text_font_size_tablet=”” text_font_size_phone=”” text_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}”]<\/p>\n If you want to get a highly-paid data science job, there’s going to be several hurdles that you’ll need to get over.<\/p>\n But maybe the biggest hurdle is …<\/p>\n Companies are going to test you.<\/p>\n They’re going to test your ability to write data science code.<\/p>\n They’re going to test that you have the right skills.<\/p>\n For example, before I got my job at Apple, they tested me on my ability to write data science code …<\/p>\n And over my career, I’ve interviewed at many of the biggest companies in the USA, like Meta (Facebook), LinkedIn, Bank of America, and others.<\/p>\n Every single one tested me on my ability to write code.<\/p>\n So as a data science candidate, you need to understand, that they’re going to test you<\/strong>.<\/p>\n Like it or not, if you want a $150,000 data science job, you need to have the code memorized<\/em>\u00a0in order to pass your data science coding interview.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.23″ custom_padding=”|150px||150px|false|true” custom_padding_tablet=”|50px||50px|false|true” custom_padding_phone=”|20px||20px|false|true” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.23″ background_color=”#f1f1f1″ border_width_all=”6px” border_color_all=”#122f47″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2020\/02\/blue-key-image.png” align=”center” _builder_version=”4.23″ width=”22%” width_tablet=”22%” width_phone=”66%” width_last_edited=”on|phone” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”|600|||||||” text_text_color=”#122f47″ text_font_size=”34px” text_orientation=”center” global_colors_info=”{}”]<\/p>\n But here’s a secret …<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.1″ text_font=”|300|||||||” text_font_size=”23px” text_orientation=”center” custom_margin=”0px|10px|0px|10px|true|true” text_font_size_tablet=”20px” text_font_size_phone=”21px” text_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n There’s a way to master core data science, memorize the syntax (so you can pass any interview), and do it in as little as 10 minutes per day.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ custom_padding=”3px||43px|||” locked=”off” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|phone” _builder_version=”4.16″ custom_padding=”0|200px|24.6px|200px|false|false” custom_padding_tablet=”|90px||90px” custom_padding_phone=”|20px||20px” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text ul_item_indent=”20px” _builder_version=”4.22.1″ text_font=”||||||||” text_font_size=”20px” ul_text_align=”left” custom_padding=”||46px|||” text_font_size_tablet=”” text_font_size_phone=”” text_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}”]<\/p>\n A few years ago, I was in a similar position as you.<\/p>\n I wanted to upskill and\u00a0make more money<\/strong> …<\/p>\n But many of the skills I needed to learn were difficult.<\/p>\n AND I kept forgetting syntax.<\/p>\n AND I was really busy on top of that.<\/p>\n I needed to find a more effective, more efficient way to learn.<\/p>\n So I took a bit of a sidetrack …<\/p>\n I researched how to learn faster, more efficiently, and with better long term memory of things like complex data science syntax.<\/p>\n I read about how Navy SEALs train. I read about how chess masters train. I read about how polyglots learn new languages (polyglots are people who speak multiple languages).<\/p>\n Eventually, I started noticing patterns.<\/p>\n All of these elite performers use similar practice methods to train and learn new skills.<\/p>\n Finally, I “cracked the code” on learning data science.<\/p>\n And everything changed.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.17.3″ header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” header_2_line_height=”1.3em” header_2_font_size_tablet=”” header_2_font_size_phone=”25px” header_2_font_size_last_edited=”on|desktop” locked=”off” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.17.3″ text_font=”||||||||” text_font_size=”20px” locked=”off” global_colors_info=”{}”]<\/p>\n After months (even years) of struggling to learn data science, I finally “cracked the code.”<\/p>\n I developed a training system to enable me to very rapidly learn new data science skills.<\/p>\n This system is hyper-efficient.<\/p>\n With as little of 10 minutes of practice per day, this system has enabled me and my students to master data science in Python.<\/p>\n And importantly, this system has helped me and my students memorize<\/i> the code.<\/p>\n If you practice using our system, you’ll be able to write Python data science code “with your eyes closed” …<\/p>\n You’ll be able to wrangle, visualize, and analyze data for any data science coding exam.<\/p>\n If you practice like we show you, you’ll be able master Python data visualization in a couple of months, in as little as 10 minutes per day.<\/p>\n Here’s how …<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.23″ background_color=”#1fd7e0″ height=”15px” custom_padding=”0px||1px|||” global_colors_info=”{}”][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.16″ background_color=”#f0f0f0″ custom_margin=”0px||||false|false” custom_padding=”0px|65px|0px|65px|false|true” custom_padding_tablet=”|30px||30px||true” custom_padding_phone=”|5px||5px||true” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ custom_padding=”30px|0px|17px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”|600||||on|||” text_font_size=”24px” header_font=”||||||||” text_orientation=”center” text_text_align=”center” global_colors_info=”{}”]<\/p>\n Introducing …<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font=”|700||||on|||” text_font_size=”74px” header_font=”||||||||” text_orientation=”center” text_font_size_tablet=”55px” text_font_size_phone=”35px” text_font_size_last_edited=”on|phone” text_text_align=”center” global_colors_info=”{}”]<\/p>\n PYTHON DATA MASTERY<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font=”||||||||” text_font_size=”20px” module_alignment=”center” custom_margin=”0px||0px||true|true” custom_margin_tablet=”0px||0px||true|true” custom_margin_phone=”0px||0px||true|true” custom_margin_last_edited=”on|phone” custom_padding=”|200px||200px|false|true” custom_padding_tablet=”|200px||200px|false|true” custom_padding_phone=”|0px||0px|false|true” custom_padding_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n A systematic, step-by-step course to help you learn and master the essential skills of data science in Python.<\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”26px|150px|60px|150px|false|false” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”0|20px||20px|false|false” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ width=”57.1%” custom_margin=”32px|auto||auto||” custom_padding=”0|50px|40px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”||||||||” text_font_size=”20px” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Python Data Mastery focuses on critical, essential data science skills.\u00a0<\/p>\n This course avoids unnecessary theory and BS skills that you don’t need.<\/p>\n When you join, you’ll learn the essential foundations of data science in Python.<\/p>\n You’ll start by learning base Python.\u00a0 Even if this is a bit of a review, you’ll get important practice exercises to help you become “fluent” in all of the important techniques of base Python.<\/p>\n Next, you’ll learn data manipulation.\u00a0 This will include techniques from NumPy, but also techniques from Pandas.\u00a0 These toolkits are essential for shaping and “wrangling” data in Python.<\/p>\n Finally, you’ll learn data visualization.\u00a0 Data visualization is critical at every part of the data workflow, from data exploration, to data analysis, to advanced techniques.<\/p>\n <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Forgetting data science syntax is a huge barrier to productivity, because you constantly need to stop, and search for how to do something.<\/p>\n That’s why we developed a unique practice system that will help you memorize syntax.<\/p>\n This practice system is based on key insights from cognitive psychology …<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2021\/12\/repetition-practice-explanation_laptop-example_python-syntax.png” alt=”An image that shows how the Sharp Sight practice system improves memory and retention over time.” title_text=”repetition-practice-explanation_laptop-example_python-syntax” _builder_version=”4.16″ _module_preset=”default” width=”80%” module_alignment=”center” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n By showing you how to carefully structure your practice, we’ll help you “hack” your memory so that you remember all of the critical syntax for data science in Python, permanently.<\/p>\n This will dramatically increase your “fluency” with writing data science code.<\/p>\n … which in turn, will make you vastly more productive.<\/p>\n <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n To do real data science work …<\/p>\n Things like data cleaning and data analysis …<\/p>\n You often need to combine multiple tools together in specific ways.<\/p>\n In Python Data Mastery, you’ll discover how to combine together tools from Python data science packages to accomplish real tasks.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2021\/11\/pandas-data-analysis-code-example_bank-data.png” alt=”An image of Pandas code, analyzing a dataset.” title_text=”pandas-data-analysis-code-example_bank-data” _builder_version=”4.16″ _module_preset=”default” width=”60%” module_alignment=”center” custom_margin=”30px||30px||true|false” box_shadow_style=”preset2″ box_shadow_horizontal=”-6px” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n We’ll show you how to “put the pieces together” to do real work.<\/p>\n <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Importantly, this course is designed to help you become “fluent” in writing Python code.<\/p>\n When most students learn data science in Python, they “learn” techniques, but then forget almost everything.\u00a0 So when they try to work on a project, they struggle and have to do Google searches for syntax every 5 minutes.<\/p>\n Python Data Mastery solves that problem.<\/p>\n Inside the course, you’ll discover a secret training system that will enable you to memorize everything you learn.<\/p>\n This system will enable you to become “fluent” in writing Python code.\u00a0 When you eventually begin working on Python data science projects, you’ll write code quickly, effortlessly, and from memory.<\/p>\n <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Python Data Mastery is designed to be the most efficient, most effective way to master data science in Python.<\/p>\n Ultimately, if you follow the system, you will be able to master critical data science skills within weeks.<\/p>\n The first key to learning efficiently is the structure of the course.\u00a0 We’ve structured this course methodically.\u00a0 You’ll learn the right material at the right time.\u00a0 One topic will flows into the next … so learning will be simple, natural, and effortless.<\/p>\n Moreover, our unique training system is desigened for maximum efficiency.\u00a0 We used insights from psychology and neuroscience to “hack” your memory.\u00a0 When you follow our training system, you’ll effortlessly memorize all of the Python syntax you learn within weeks.<\/em><\/p>\n <\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.1″ text_font=”||||||||” text_font_size=”20px” locked=”off” global_colors_info=”{}”]<\/p>\n I realize that you have very limited time.<\/p>\n So I designed Python Data Mastery to work in as little as 10 minutes per day.<\/p>\n Out practice system uses insights from neuroscience to maximize your training efficiency.<\/p>\n With as little as 10 minutes of practice per day, you’ll be able to learn, memorize, and master how to do data wrangling, data visualization, a data analysis in Python.<\/p>\n It’s the system that I wish that I had years ago …<\/p>\n And if you enroll today, it’s all yours …<\/p>\n A step-by-step system for learning Python data science that’s simple, easy, and effective.<\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.23″ background_color=”#e8e8e8″ custom_padding=”|100px|40px|100px||” custom_padding_tablet=”|100px|40px|100px||” custom_padding_phone=”|0px||0px|false|true” global_colors_info=”{}”][et_pb_row _builder_version=”4.23″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ text_font=”Georgia||||||||” text_font_size=”50px” text_line_height=”1.3em” text_orientation=”center” text_font_size_tablet=”” text_font_size_phone=”40px” text_font_size_last_edited=”on|phone” text_text_align=”center” global_colors_info=”{}”]<\/p>\n “Learning this way is almost addictive!”<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”|300|||||||” text_font_size=”20px” text_orientation=”right” text_text_align=”right” global_colors_info=”{}”]<\/p>\n \u2013 Victor O., Sharp Sight student<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”26px|158px|60px|148px|false|false” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”0|20px||20px|false|false” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_margin=”32px|auto||auto||” custom_padding=”0|50px|40px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”Montserrat|700|||||||” text_font_size=”40px” text_letter_spacing=”1px” text_line_height=”1.1em” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” text_font_size_tablet=”40px” text_font_size_phone=”30px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n In Python Data Mastery, you’ll learn essential data science skills<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” custom_padding=”||0px|||” global_colors_info=”{}”]<\/p>\n Python Data Mastery will teach you several critical areas of data science: basic programming, data manipulation, and data visualization.<\/p>\n To do this, you’ll learn four areas within Python:<\/p>\n Specifically, here’s what you’ll learn when you join:<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”50px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”Montserrat|700|||||||” text_font_size=”46px” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” text_font_size_tablet=”46px” text_font_size_phone=”46px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Base Python<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n In the first two modules, you’ll learn base Python.<\/p>\n The Python programming language forms the foundation of data science in Python, so you need to know quite a bit about data types, logic, and control structures.<\/p>\n <\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/11\/base-python-laptop-video-example.png” align=”center” _builder_version=”4.16″ max_width=”80%” module_alignment=”center” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n <\/p>\n With that in mind, you\u2019ll learn:<\/p>\n If you’re a true beginner to Python, these topics will be explained in a clear, easy to understand manner, so it will all be crystal clear.<\/p>\n And if you have a little experience with Python, you’ll discover a training system that will enable you to become “fluent” in all of these foundational techniques.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”52px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”Montserrat|700|||||||” text_font_size=”46px” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” text_font_size_tablet=”46px” text_font_size_phone=”46px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n NumPy<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n After learning about base Python, you’ll learn about NumPy.<\/p>\n The NumPy package is a toolkit for working with numeric data. It’s widely used in a variety of tasks within data science, like statistics, data visualization, and machine learning.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_margin=”|20px||20px|false|true” custom_padding=”0px|3px|4px|3px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/11\/numpy-laptop-video-example.png” _builder_version=”4.16″ max_width=”90%” module_alignment=”center” custom_padding=”5px|||||” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” custom_padding=”80px|0px||||” global_colors_info=”{}”]<\/p>\n Because it’s so common, you really should know Numpy backwards and forwards.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”40px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” custom_padding=”|0px||||” global_colors_info=”{}”]<\/p>\n In the NumPy lessons, you’ll learn everything you need to know, like:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Again, everything will be explained in a clear, straightforward manner that makes it easy for you to understand.<\/p>\n And you get practice exercises that will enable you to master every tool and technique that you learn.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”65px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”Montserrat|700|||||||” text_font_size=”46px” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Pandas<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” custom_margin=”||0px|||” global_colors_info=”{}”]<\/p>\n Next, you’ll learn about Pandas, which is a toolkit for working with “dataframes.”<\/p>\n If you’re not familiar with them, dataframes are row-and-column data structures that are very common in data science.\u00a0 They are sort of like Excel spreadsheets, and they are extremely common for storing and analyzing data.<\/p>\n Specifically, you’ll learn:<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/11\/pandas-laptop-video-example.png” _builder_version=”4.16″ max_width=”80%” module_alignment=”center” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Pandas is extremely useful for doing data manipulation in Python. In fact, you’ll need Pandas in almost every part of the data science workflow. We’ll help you learn it so well, you’ll be “fluent” in writing Pandas code to manipulate your data.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”54px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”Montserrat|700|||||||” text_font_size=”46px” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Matplotlib<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”2_5,3_5″ custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”2px|50px|1px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”2_5″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” custom_padding=”40px|||||” global_colors_info=”{}”]<\/p>\n You’ll also learn about matplotlib.<\/p>\n Matplotlib is an extremely common data visualization toolkit for Python.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/11\/matplotlib-laptop-video-example.png” _builder_version=”4.16″ global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”19px|100px|5px|100px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n \u00a0In the Matplotlib modules, you’ll learn:<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”54px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”|700|||||||” text_font_size=”46px” global_colors_info=”{}”]<\/p>\n Seaborn<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Finally, you’ll also learn about Seaborn.<\/p>\n Seaborn is another data visualization toolkit for Python.\u00a0 The advantage of Searborn is that it’s easier to use than Matplotlib, and it works better with Pandas DataFrames.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/11\/seaborn-code-laptop-example.png” align=”center” _builder_version=”4.16″ max_width=”75%” module_alignment=”center” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n \u00a0In the Seaborn modules, you’ll learn:<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”52px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”Montserrat|700|||||||” text_font_size=”46px” text_line_height=”1.3em” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” text_font_size_tablet=”46px” text_font_size_phone=”46px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Learn how to combine syntax<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Once you master the individual tools from Pandas, Numpy, and Seaborn, we’ll show you how to “put the pieces together” …<\/p>\n You’ll learn how to combine syntax together to do real data science work.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2020\/08\/PDM-combine-syntax_method-chains.png” alt=”An image of a laptop, which is playing a video showing how to %22chain together%22 Python methods.” title_text=”PDM-combine-syntax_method-chains” align=”center” _builder_version=”4.16″ width=”80%” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n This is the secret to real productivity with Python.<\/p>\n Once you learn how to combine syntax together, you’ll be able to wrangle and visualize your data like a pro.<\/p>\n (If you’ve been looking for something like dplyr pipes from R, you need to learn this<\/em>!)<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”52px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”Montserrat|700|||||||” text_font_size=”44px” text_line_height=”1.3em” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Data Cleaning [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n After you learn how to combine syntax, you’ll learn the process<\/em> for data cleaning and dataset preparation.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”26px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2020\/05\/starting-data-science_salespage_laptop_data-preparation-process.png” alt=”An image that shows a laptop, playing a video that shows the process for preparing data in R.” title_text=”starting-data-science_salespage_laptop_data-preparation-process” _builder_version=”4.16″ global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” custom_padding=”52px|||||” global_colors_info=”{}”]<\/p>\n In Python Data Mastery, you’ll learn a step-by-step process for getting, cleaning, and reshaping your data.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”54px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n You’ll learn the high-level process. But we’ll also show you a clear data preparation case study, so you can see exactly how to use Pandas and other tools to clean, reshape, and combine multiple data files into a single dataset that’s ready for visualization and analysis.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2021\/12\/data-cleaning-example_join-datasets_supercars.png” alt=”An image of code, showing how to merge multiple datasets into a single file.” title_text=”data-cleaning-example_join-datasets_supercars” align=”center” _builder_version=”4.16″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n If you’re struggling with cleaning your data, then these lessons can show you exactly<\/em> what to do, and how to do it.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”52px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”Montserrat|700|||||||” text_font_size=”44px” text_line_height=”1.2em” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Data Analysis<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n You’ll also learn a step-by-step process for analyzing<\/em> your data. <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”2_5,3_5″ custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”3px|50px|0px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”2_5″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” custom_padding=”37px|||||” global_colors_info=”{}”]<\/p>\n You’ll learn how to combine techniques from base Python, Pandas, Seaborn, and other modules to analyze data and find insights.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2020\/05\/starting-data-science_salespage_laptop_data-analysis-process-1.png” alt=”An image that shows a laptop that’s playing a video which explains how to analyze data with dplyr, ggplot2, and the Tidyverse.” title_text=”starting-data-science_salespage_laptop_data-analysis-process” _builder_version=”4.16″ min_height=”144px” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”54px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n So you’ll learn the high-level process of data analysis …<\/p>\n But you’ll also see step-by-step examples of how data analysis is actually done in Python.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2021\/12\/supercars-data-analysis-example_python_v2.png” alt=”An image of some Python data analysis code, and a resulting plot.” title_text=”supercars-data-analysis-example_python_v2″ align=”center” _builder_version=”4.16″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n We’ll show you how to use data wrangling and data visualization tools together<\/em> to explore a dataset and find the insights that companies want.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”52px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”Montserrat|700|||||||” text_font_size=”44px” text_line_height=”1.3em” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Machine Learning Essentials [\/et_pb_text][et_pb_text _builder_version=”4.17.3″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n After you learn data analysis, you’ll learn machine learning essentials with Scikit Learn.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”26px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2022\/05\/high-level-ML-process.png” alt=”An image of a presentation, explaining the high-level machine learning process.” title_text=”high-level-ML-process” _builder_version=”4.17.3″ global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.3″ text_font=”||||||||” text_font_size=”20px” custom_padding=”52px|||||” global_colors_info=”{}”]<\/p>\n You’ll learn what machine learning is, and learn about the high-level process of building ML models.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”54px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.17.3″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n You’ll also learn the essential syntax of scikit learn.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2022\/05\/scikit-learn-fit_simple-syntax-example.png” alt=”A simple explanation of the syntax of the Scikit Learn %22fit%22 method.” title_text=”scikit-learn-fit_simple-syntax-example” align=”center” _builder_version=”4.17.3″ max_width=”75%” module_alignment=”center” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.17.3″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n These lessons will give you a solid foundation in machine learning essentials that will prepare you for more advanced future study.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”54px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”Montserrat|700|||||||” text_font_size=”46px” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Bonus Vaults<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Python Data Mastery contains bonus vaults of extra material.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n In the “data visualization teardown” vault, you’ll learn more about “how to think” about data visualization, and how to “tell stories with data.”<\/p>\n In these video lessons, I break down data visualizations and explain the good, the bad, and the ugly. These lessons will help you sharpen your understanding of how to effectively use data visualizations to communicate valuable insights.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2021\/12\/fed-balance-sheet_line-chart-teardown-example.png” alt=”An image of a video that shows a %22teardown%22 of a line chart.” title_text=”fed-balance-sheet_line-chart-teardown-example” align=”center” _builder_version=”4.16″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2021\/12\/us-cities-municipal-debt_bar-chart-teardown-example.png” alt=”An image of a video showing a %22teardown%22 of a bar chart.” title_text=”us-cities-municipal-debt_bar-chart-teardown-example” align=”center” _builder_version=”4.16″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2021\/12\/nathan-yao-quote_political-map-teardown-example.png” alt=”An image showing a video with a quote about data visualization, in the context of a data visualization teardown.” title_text=”nathan-yao-quote_political-map-teardown-example” align=”center” _builder_version=”4.16″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n In the project vault, you’ll see an example of an end-to-end project that involves getting data (from Wikipedia), cleaning the data, and visualizing it. This video lesson integrates many of the skills learned in the course, and shows you another example of how they are actually used, in practice.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2021\/12\/presidential-ranking_python-data-wrangling-code-example.png” alt=”An image showing Python code, that is cleaning data for a modestly sized Python data science project concerning president ranking data on Wikipedia.” title_text=”presidential-ranking_python-data-wrangling-code-example” align=”center” _builder_version=”4.16″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n The code that you see in this vault will help you understand how everything fits together, and will give you ideas for how you can put your new data skills to use.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”54px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”Montserrat|700|||||||” text_font_size=”40px” text_line_height=”1.3em” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” text_font_size_tablet=”40px” text_font_size_phone=”30px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n \nBONUS: [\/et_pb_text][et_pb_text _builder_version=”4.22.1″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Data visualization is as much about good design as it is about writing syntax to create visualizations.<\/p>\n And a big part of good design is avoiding simple design mistakes.<\/p>\n So in this bonus, I’ll show you 5 of the most common data visualization mistakes that amateurs make.<\/p>\n These are things that you NEED to know, so you know what to avoid doing.<\/p>\n You’ll learn:<\/p>\n … and more<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/09\/5-visualization-mistakes_FEATURED-IMAGE.png” alt=”An image of a video that shows a %22teardown%22 of a line chart.” title_text=”5-visualization-mistakes_FEATURED-IMAGE” align=”center” _builder_version=”4.22.1″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/09\/5-vis-mistakes_no-small-multiple-pie.png” alt=”An image of a video showing a %22teardown%22 of a bar chart.” title_text=”5-vis-mistakes_no-small-multiple-pie” align=”center” _builder_version=”4.22.1″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/09\/5-vis-mistakes_bad-color.png” alt=”An image showing a video with a quote about data visualization, in the context of a data visualization teardown.” title_text=”5-vis-mistakes_bad-color” align=”center” _builder_version=”4.22.1″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.22.1″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n This bonus will further sharpen your intuition about how to create great visualizations by telling you 5 things that you absolutely need to avoid.<\/p>\n (You really need to see this, because you’re probably doing at least 1 or 2 of them …)<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”54px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”Montserrat|700|||||||” text_font_size=”40px” text_line_height=”1.3em” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” text_font_size_tablet=”40px” text_font_size_phone=”30px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n \nBONUS: [\/et_pb_text][et_pb_text _builder_version=”4.22.1″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Again … data visualization is about more than just writing syntax.<\/p>\n A lot of visualization is knowing how to use different elements of a plot to communicate to an audience visually.<\/p>\n Have you ever heard someone say the phrase “telling stories with data”?<\/p>\n Visual design is a big part of that.<\/p>\n You have to know how to structure your visualizations.<\/p>\n That’s why in this bonus, I’ll show you 5 simple ways to improve the design of your visualizations.<\/p>\n You’ll learn:<\/p>\n … and more<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/09\/5-way-to-improve-your-visualizations_FEATURED-IMAGE.png” alt=”An image of a video that shows a %22teardown%22 of a line chart.” title_text=”5-way-to-improve-your-visualizations_FEATURED-IMAGE” align=”center” _builder_version=”4.22.1″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/09\/5-way-to-improve-your-visualizations_GOOD-TITLE.png” alt=”An image of a video showing a %22teardown%22 of a bar chart.” title_text=”5-way-to-improve-your-visualizations_GOOD-TITLE” align=”center” _builder_version=”4.22.1″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/09\/5-way-to-improve-your-visualizations_SUBTITLE.png” alt=”An image showing a video with a quote about data visualization, in the context of a data visualization teardown.” title_text=”5-way-to-improve-your-visualizations_SUBTITLE” align=”center” _builder_version=”4.22.1″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.22.1″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n In this bonus, you’ll learn more tips and strategies to improve your visualizations, so you create your charts and graphs like a high-paid pro.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”54px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”Montserrat|700|||||||” text_font_size=”40px” text_line_height=”1.3em” header_font=”||||||||” header_font_size=”24px” 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box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/11\/pandas-cheat-sheet.jpeg” alt=”An image of a Pandas cheat sheet.” title_text=”pandas-cheat-sheet” align=”center” _builder_version=”4.23″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/11\/numpy-cheat-sheet_IMAGE.jpeg” alt=”An image showing a video with a quote about data visualization, in the context of a data visualization teardown.” title_text=”numpy-cheat-sheet_IMAGE” align=”center” _builder_version=”4.23″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.23″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n You can keep the electronic versions on your computer’s desktop for easy reference, or even print out a hard copy to put nearby.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”54px|50px|23px|50px|false|true” custom_padding_tablet=”5px|20px||20px|false|true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”Montserrat|700|||||||” text_font_size=”40px” text_line_height=”1.4em” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” text_font_size_tablet=”40px” text_font_size_phone=”30px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n \nBONUS: [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Pandas, Numpy, and Seaborn are obviously necessary for data science in Python.<\/p>\n But as a data scientist, SQL is also very important for retrieving data from databases (particularly in large corporate environments).<\/p>\n This bonus will show you the essentials of SQL, as a compliment to your Python data science skills.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/10\/sql-essentials_screenshot.png” alt=”An image of a video that shows a %22teardown%22 of a line chart.” title_text=”sql-essentials_screenshot” align=”center” _builder_version=”4.22.2″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/11\/SQL-inner-join-example_v2.png” alt=”An image of a video that shows a %22teardown%22 of a line chart.” title_text=”SQL-inner-join-example_v2″ align=”center” _builder_version=”4.23″ max_width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.22.2″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n When I worked at Apple and Bank of America, SQL was a big part of the job.<\/p>\n So this bonus will probably be very important for you. \u00a0<\/p>\n If you want a data science job, these lessons along could be worth the price of the course.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ custom_margin=”0px|0px|0px|0px” custom_padding=”0|0|0px|0px|false|false” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ width=”100%” max_width=”100%” custom_margin=”0px|0px|0px|0px” custom_padding=”0|0px|0px|0px|false|false” use_custom_width=”on” width_unit=”off” custom_width_percent=”100%” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”0px|0px|0px|0px” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/04\/cube-pixel-row.png” show_bottom_space=”off” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.16″ custom_margin=”|0px||0px” custom_padding=”|0px||0px” custom_css_main_element=”width: 100vw;” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”43px|158px|32.8px|148px|false|false” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”0|49px|40px|49px|false|true” custom_padding_tablet=”|20px||20px||true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”|600|||||||” text_font_size=”42px” text_line_height=”1.3em” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” text_orientation=”center” text_font_size_tablet=”42px” text_font_size_phone=”30px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Memorize Python Data Science Syntax [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” custom_margin=”||35px|||” global_colors_info=”{}”]<\/p>\n Python Data Mastery has been designed to help you memorize Python data science syntax.<\/p>\n Like it or not, you need to know Pandas syntax.<\/p>\n For example, when you interview for a data job, they’re going to test you to make sure you know the syntax. They’re going to check that you know what you’re doing.<\/p>\n So imagine…<\/p>\n You’re in your data science coding interview, and they ask you to do some data inspection and visualization on a dataset …<\/p>\n They ask you to load a dataset, inspect it, and then visualize it.<\/p>\n You smile briefly, and then effortlessly type the code ….<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/11\/PDM-sales-page-code-example.gif” align=”center” _builder_version=”4.16″ max_width=”90%” custom_margin=”14px|||||” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n <\/em><\/p>\n Imagine how satisfying it will be to ace your coding interview …<\/p>\n How exciting it will be to get the job offer …<\/p>\n How great it would be to make thousands more than you’re already making.<\/p>\n It’s all possible.<\/p>\n When you join Python Data Mastery, you’ll discover a training system<\/strong> that will help you master all of the critical Python data science syntax you’ll need.<\/p>\n Our training system will enable you to memorize the syntax for cleaning, wrangling, visualizing, and analyzing your data.<\/p>\n This is the key to helping you pass your data science coding interview …<\/p>\n And it’s the key to making you a productive data scientist that companies will pay a lot of money to.<\/em><\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”0|49px|40px|49px|false|true” custom_padding_tablet=”|20px||20px||true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.23″ background_color=”#8300E9″ custom_padding=”|100px|40px|100px||” custom_padding_tablet=”” custom_padding_phone=”|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ custom_padding=”1px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_text _builder_version=”4.22.1″ text_font=”Georgia||||||||” text_text_color=”#ffffff” text_font_size=”48px” text_line_height=”1.1em” text_orientation=”center” text_font_size_tablet=”” text_font_size_phone=”30px” text_font_size_last_edited=”on|desktop” text_text_align=”center” global_colors_info=”{}”]<\/p>\n \u201cI have been practicing almost every day and it really helped me memorize all the syntax.\u201d<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.1″ text_font=”|300|||||||” text_text_color=”#ffffff” text_font_size=”20px” header_font=”||||||||” text_orientation=”right” text_text_align=”right” global_colors_info=”{}”]<\/p>\n \u2013 Corey H., Sharp Sight student<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”43px|158px|32.8px|148px|false|false” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” locked=”off” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”0|49px|40px|49px|false|true” custom_padding_tablet=”|20px||20px||true” custom_padding_phone=”18px|0px||0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.22.1″ header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,2_3″ make_equal=”on” custom_padding_last_edited=”on|phone” _builder_version=”4.16″ custom_margin=”|auto|17px|auto||” custom_padding=”0|200px|24.6px|200px|false|false” custom_padding_tablet=”|90px||90px” custom_padding_phone=”|20px||20px” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2022\/10\/IMG_1875-scaled.jpeg” alt=”josh_blue-shirt_portrait” title_text=”IMG_1875″ align=”center” _builder_version=”4.19.1″ _module_preset=”default” module_alignment=”right” max_height=”150px” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”2_3″ _builder_version=”4.16″ custom_padding=”|||” custom_css_main_element=”align-self: center;” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.22.1″ _module_preset=”default” text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Hi. I’m Josh Ebner, the founder of Sharp Sight, and a former data scientist at Apple.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”0|49px|40px|49px|false|true” custom_padding_tablet=”|20px||20px||true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.22.1″ text_font=”||||||||” text_font_size=”20px” custom_margin=”||35px|||” global_colors_info=”{}”]<\/p>\n I’ve been doing data science and analytics since 2004 (literally since before we called it data science).<\/p>\n I’ve done data science and analytics at some of the biggest and best companies in the world, including Apple, Bank of America, HP, Ogilvy, Kraft, and many others.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/09\/ebner-work-history-logos.png” title_text=”ebner-work-history-logos” _builder_version=”4.23″ _module_preset=”default” width=”100%” max_width=”90%” module_alignment=”center” box_shadow_style=”preset2″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.22.2″ text_font=”||||||||” text_font_size=”20px” custom_margin=”50px||35px||false|false” global_colors_info=”{}”]<\/p>\n Over the course of my career, I’ve written 10s of thousands of lines of data science code for data wrangling, visualization, and analysis.<\/p>\n I believe that data science can be simple and easy, IF you know what you’re doing.<\/p>\n And to know what you’re doing, you need great mentorship.<\/p>\n Therefore, I designed this to teach you what I know, in clear, simple language.<\/p>\n I want to turn you into a skilled data science pro, as quickly and efficiently as possible, using our step-by-step training system.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.23″ background_color=”#007fe0″ custom_padding=”|100px|40px|100px||” custom_padding_tablet=”” custom_padding_phone=”|5px||5px|false|true” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ custom_padding=”1px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ text_font=”Georgia||||||||” text_text_color=”#ffffff” text_font_size=”48px” text_line_height=”1.1em” text_orientation=”center” text_font_size_tablet=”” text_font_size_phone=”30px” text_font_size_last_edited=”on|desktop” text_text_align=”center” global_colors_info=”{}”]<\/p>\n “Your practice method is simply effective beyond words”<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”|300|||||||” text_text_color=”#ffffff” text_font_size=”20px” header_font=”||||||||” text_orientation=”right” text_text_align=”right” global_colors_info=”{}”]<\/p>\n \u2013 Joshua F., Sharp Sight student<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.16″ custom_padding=”|150px||150px||” custom_padding_tablet=”” custom_padding_phone=”|20px||20px” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.16″ custom_padding=”30px|49px|40px|49px|false|true” custom_padding_tablet=”|20px||20px||true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”||||||||” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”39px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n \u00a0I get it …<\/p>\n You’re probably skeptical.<\/p>\n Becoming “fluent” in Python in a few weeks sounds too good to be true.<\/p>\n Mastering essential data science in Python in a few weeks doesn’t seem possible …<\/p>\n But it IS possible.\u00a0<\/p>\n You can become “fluent” in Python and master data science skills in only a few weeks.<\/p>\n Our past students have had amazing results.<\/p>\n Here’s what our past students have had to say about our courses and training methodology:<\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Edwin W.” job_title=”Founder, dataisliteracy.org” portrait_url=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/edwin-w-dataisliteracy.jpg” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n “I enrolled in your data science program this past year \u2026. It\u2019s amazing!<\/p>\n Having taught for 20 years, you have one of best approaches I\u2019ve seen to teaching.”<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Vasily M.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n \u201cI want to say thank you for the quality of the course.<\/p>\n The concepts are combined very well with this course. It\u2019s great.\u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=” Alexandre F.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n \u201cThe course is amazing.\u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Sharon P.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n \u201cYou deliver excellent information, parsed into just the right units, and provide an awesome way to practice and internalize the material.<\/p>\n \u2026 the course is delivering on all the promises, and it\u2019s improving my understanding of everything.\u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Paolo C.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n \u201cBeing able to write down key code snippets without looking up anywhere else is so useful.\u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Ganapathy G.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n \u201cThe course is very good.\u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Joshua F.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n \u201cI\u2019m really enjoying the lectures, coding walkthroughs, and practice.<\/p>\n They\u2019ve been tremendously helpful and I can really see my fluency developing.\u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Corey H.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n \u201cI have been practicing almost every day and find that it really helped me memorize all the syntax.\u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Michael G.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n \u201cI feel much more comfortable and proficient after going through the videos and practicing.\u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Toby P.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n \u201cBeen practicing every day for the last 10 days. Plan on keeping it as a habit for life.<\/p>\n …. It has been phenomenal in helping learn Python!\u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Dmitriy T.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.18.0″ global_colors_info=”{}”]<\/p>\n \u201cThe course helped me to memorize and automate my skills.\u201d<\/p>\n \u2b50\u2b50\u2b50\u2b50\u2b50<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Joshua F.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n \u201cYour DSSR method is simply effective beyond words.\u201d<\/p>\n [\/et_pb_testimonial][et_pb_testimonial author=”Amber C.” portrait_url=”data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iNTAwIiBoZWlnaHQ9IjUwMCIgdmlld0JveD0iMCAwIDUwMCA1MDAiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CiAgICA8ZyBmaWxsPSJub25lIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPgogICAgICAgIDxwYXRoIGZpbGw9IiNFQkVCRUIiIGQ9Ik0wIDBoNTAwdjUwMEgweiIvPgogICAgICAgIDxyZWN0IGZpbGwtb3BhY2l0eT0iLjEiIGZpbGw9IiMwMDAiIHg9IjY4IiB5PSIzMDUiIHdpZHRoPSIzNjQiIGhlaWdodD0iNTY4IiByeD0iMTgyIi8+CiAgICAgICAgPGNpcmNsZSBmaWxsLW9wYWNpdHk9Ii4xIiBmaWxsPSIjMDAwIiBjeD0iMjQ5IiBjeT0iMTcyIiByPSIxMDAiLz4KICAgIDwvZz4KPC9zdmc+Cg==” _builder_version=”4.23.3″ global_colors_info=”{}”]<\/p>\n \u201cI am currently in school for data science and will be getting my bachelors degree in August …<\/p>\n The python course is much more informative than the python course I took at school, and I feel, thanks to you, I will be an expert in the subject soon.\u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”David Y.” portrait_url=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2024\/01\/david-y_thumbnail-headshot.jpeg” _builder_version=”4.23.3″ global_colors_info=”{}”]<\/p>\n \u201cI’m getting a ton out of the course and the flashcards … the flashcard drills really reinforce the code. Very effective. \u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Bashar K.” portrait_url=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/02\/bashar-k.jpeg” _builder_version=”4.23″ global_colors_info=”{}”]<\/p>\n \u201cIn a little over a week since I’ve started, I can see an immense difference in how ‘fluid’ I’ve become. <\/p>\n My overall understanding of how the Python language works, my ability to apply Data Science \/ Analytics, and of course my general code fluidity has skyrocketed – Thank you ! \u201d<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”41px|0px|0px|0px|false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_testimonial author=”Khang G.” portrait_url=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2022\/10\/khang-g-image.jpeg” _builder_version=”4.18.0″ global_colors_info=”{}”]<\/p>\n \u201cSharp Sight’s Python Data Mastery is the BEST course for learning data science effectively, and Mr. Ebner is one of the best (and nicest) instructors I have met.<\/p>\n As an Operations Executive, I have applied a majority of course’s knowledge to improving my team’s workflows (using Python and libraries such as Pandas and Seaborn).<\/p>\n And more importantly, you will love Data Science going through this course<\/p>\n A MUST-BUY.\u201d<\/p>\n \u2b50\u2b50\u2b50\u2b50\u2b50<\/p>\n [\/et_pb_testimonial][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”64px||104px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_divider show_divider=”off” _builder_version=”4.16″ global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.23″ background_color=”#f4f4f4″ width=”100%” custom_margin=”|0px||0px|false|true” custom_padding=”|150px||150px” custom_padding_tablet=”” custom_padding_phone=”|10px||10px|false|true” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.23″ background_color=”#ffffff” custom_margin=”|auto|122px|auto||” custom_margin_tablet=”|auto|122px|auto||” custom_margin_phone=”|0px||0px|false|true” custom_margin_last_edited=”on|phone” custom_padding=”30px|80px|40px|80px|false|true” custom_padding_tablet=”|20px||20px||true” custom_padding_phone=”18px|0px||0px|false|false” border_width_all=”3px” border_color_all=”#7c7c7c” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”||||||||” text_font_size=”44px” text_line_height=”1.2em” header_font=”||||||||” header_font_size=”26px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” text_orientation=”center” custom_margin=”|0px||0px|false|false” custom_padding=”|0px||0px|false|true” text_font_size_tablet=”” text_font_size_phone=”32px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” text_text_align=”center” global_colors_info=”{}”]<\/p>\n When you join Python Data Mastery<\/strong>, you’ll get everything you need to master data science fast:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.23″ custom_padding=”30px|49px|40px|49px|false|true” custom_padding_tablet=”|20px||20px||true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.23″ text_font=”|600|||||||” text_font_size=”44px” text_line_height=”1.3em” header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” text_font_size_tablet=”44px” text_font_size_phone=”30px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Python Data Mastery [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” custom_margin=”||35px|||” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font=”|600|||||||” text_font_size=”28px” text_line_height=”1.5em” custom_margin=”||51px|||” custom_padding=”50px|30px||30px|false|true” custom_padding_tablet=”50px|30px||30px|false|true” custom_padding_phone=”|0px||0px|false|true” custom_padding_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n No matter what stage you’re at in your data science training, if you answered “yes” to even ONE of of the questions above, you should join Python Data Mastery, RIGHT NOW.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” text_line_height=”1.4em” global_colors_info=”{}”]<\/p>\n BUT!<\/p>\n If you’re looking for a course that will magically turn you into a data unicorn without any effort at all, then don’t join.<\/p>\n If you’re out of cash and definitely can’t afford the course, don’t join.<\/p>\n Python Data Mastery is a step-by-step system that will enable you to rapidly master data science …<\/p>\n IF you do the work.<\/p>\n You must be willing to put in some effort in order to get the results.<\/p>\n If you’re willing to do that, then Python Data Mastery can help you master data science within weeks<\/span>.<\/em> [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”43px|158px|0.8px|148px|false|false” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_accordion open_toggle_text_color=”#000000″ open_toggle_background_color=”#f2f2f2″ closed_toggle_background_color=”#f2f2f2″ icon_color=”#a3a3a3″ use_icon_font_size=”on” icon_font_size=”33px” _builder_version=”4.23.4″ toggle_text_color=”#000000″ toggle_font=”||||||||” toggle_font_size=”26px” closed_toggle_font=”||||||||” closed_toggle_font_size=”20px” body_font=”||||||||” body_font_size=”20px” background_color=”rgba(0,0,0,0)” global_colors_info=”{}”][et_pb_accordion_item title=”Do I need to know Python?” open=”on” _builder_version=”4.16″ global_colors_info=”{}”]<\/p>\n No.<\/p>\n While some programming experience will be helpful, if you don\u2019t know Python, this course will get you started.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”How does the course work?” _builder_version=”4.16″ global_colors_info=”{}” open=”off”]<\/p>\n Python Data Mastery is an online video course.<\/p>\n After purchasing the course, you\u2019ll get access to a member area, where you will find video lectures, code, practice exercises.<\/p>\n New lessons will be released over several weeks and you can review the material at your own pace. The course is very \u201cflexible\u201d \u2026 you can review the material when you want.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cIs this course live?\u201d” _builder_version=”4.16″ global_colors_info=”{}” open=”off”]<\/p>\n This is not a live course. <\/p>\n This is an online video course that you can take at your own pace. You will have access to the course 24 hours a day by logging into the member area. <\/p>\n This makes the course very flexible \u2026 you can watch the videos and practice whenever is convenient for you.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cWhat if I live in India, or China, or Europe?\u201d” _builder_version=”4.16″ global_colors_info=”{}” open=”off”]<\/p>\n You can take this course from anywhere in the world. This course is 100% online, so you can take it from anywhere, at your own pace.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cHow long do I have access?\u201d” _builder_version=”4.16″ global_colors_info=”{}” open=”off”]<\/p>\n This is an online course, so you have 24\/7 access. <\/p>\n You\u2019ll also have permanent access, so you can return to the material as often as you like (even next year).<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”%22Can I use a different programming language?%22″ _builder_version=”4.16″ global_colors_info=”{}” open=”off”]<\/p>\n No.<\/p>\n This course only uses the Python programming language. There are other good data science programming languages (like R), but this course exclusively uses Python.<\/p>\n If you want to learn how to do data science with R, you should enroll in our R-based course, Starting Data Science.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cIf I want to become a data scientist, would this be a first step?\u201d” _builder_version=”4.16″ global_colors_info=”{}” open=”off”]<\/p>\n \nAbsolutely.<\/p>\n Python Data Mastery is designed to be a \u201cfirst step\u201d towards becoming a data scientist. <\/p>\n It will teach you core skills that will enable you to be productive almost immediately, and also build on as you develop your skill set.<\/p>\n The skills you\u2019ll learn are the things you\u2019ll be using almost every day as a data scientist.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cWill this prepare me to learn machine learning later on?\u201d” _builder_version=”4.17.3″ global_colors_info=”{}” open=”off”]<\/p>\n Yes.<\/p>\n Python Data Mastery teaches machine learning essentials using scikit learn.<\/p>\n It also teaches all of the foundational skills that you’ll need for machine learning, like data visualization, data analysis, and data wrangling.<\/p>\n Ultimately, Python Data Mastery teaches you the necessary foundations that you\u2019ll need for more advanced study of machine learning in the future.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cDo I need to know calculus and advanced math?\u201d” _builder_version=”4.16″ global_colors_info=”{}” open=”off”]<\/p>\n No.<\/p>\n Python Data Mastery avoids advanced math topics completely. Most \u201cadvice\u201d will tell you that you need to know advanced math to learn data science. This is a huge myth.<\/p>\n Most working data scientists (working in business and industry) do not use math on a daily basis.<\/p>\n Python Data Mastery teaches practical<\/u> data skills. <\/p>\n So, don\u2019t worry if you don\u2019t know calculus or linear algebra. You won\u2019t need it.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cHow much work do I need to put in to the course?\u201d” _builder_version=”4.16″ global_colors_info=”{}” open=”off”]<\/p>\n A couple hours per week.<\/p>\n You can adjust your practice level as needed, so if you only have 10 minutes a day, you can do that. <\/p>\n If you can work for a couple hours per week, you should be able to master the syntax I show you within about 8 weeks. <\/p>\n If you have less time to put in, it may take longer to get results.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cWhy are there monthly payments?\u201d” _builder_version=”4.23.4″ global_colors_info=”{}” open=”off”]<\/p>\n There are two payment options: you can pay in full with a one-time payment OR you can pay in monthly installments.<\/p>\n We created the monthly payment plan to make the course more cash-flow friendly for people.<\/p>\n If you choose to pay in installments, you will make an installment payment every month for 5 months. By selecting this payment plan, you are committing to 5 complete payments \u2026 that\u2019s the cost of the course.<\/p>\n Keep in mind that if you choose to pay the full cost of the course immediately with a one-time payment, you will get a discount compared to the payment plan option.<\/p>\n [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cHow long does the course last? How many lessons?\u201d” _builder_version=”4.16″ global_colors_info=”{}” open=”off”]<\/p>\n There are 10 modules, and each module as several lessons and exercises.<\/p>\n When you join, you\u2019ll immediately see the first module. Then, new modules open every week. You\u2019ll see all of the material within a few weeks.<\/p>\n But, there are exercises to help you master the syntax. To really get results, you should practice for a few weeks afterwards. You should start to see your “fluency” with the techniques develop within a few weeks. And your fluency will continue to develop beyond that … but only if you practice!<\/p>\n [\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”132px||130px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_divider color=”#1fe0ba” divider_weight=”4px” _builder_version=”4.16″ global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ background_color=”#ececec” border_width_all=”4px” border_color_all=”rgba(0,0,0,0)” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ text_font=”|600|||||||” text_font_size=”62px” text_line_height=”1.2em” header_font=”Montserrat||||||||” header_2_font=”Montserrat||||||||” header_2_font_size=”46px” text_font_size_tablet=”44px” text_font_size_phone=”28px” text_font_size_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n Try the course [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/30-day_riskfree_guarantee.png” align=”center” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.16″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” custom_margin=”|40px|40px|40px” text_font_size_tablet=”28px” text_font_size_phone=”22px” text_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Try the course.<\/p>\n If you\u2019re not completely satisfied with your progress, let me know within 30 days and I\u2019ll refund all of your money, no questions asked.<\/p>\n This is entirely RISK FREE for you. You\u2019ll get to try out the best resource for learning critical data science skills and if you\u2019re not completely satisfied, I\u2019ll refund your money.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_divider show_divider=”off” _builder_version=”4.16″ height=”70px” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.19.1″ custom_padding=”10px|75px|20px|75px|false|true” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_text _builder_version=”4.23″ text_font=”|600|||||||” text_font_size=”44px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” text_font_size_tablet=”44px” text_font_size_phone=”26px” text_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Yes! I want lifetime access [\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” text_orientation=”center” custom_margin=”15px||||false|false” global_colors_info=”{}”]<\/p>\n Choose your payment option:<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ _builder_version=”4.16″ custom_margin=”0px||0px||true|false” custom_padding=”5px||5px||true|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ background_color=”#efefef” custom_padding=”|0px||0px|false|true” box_shadow_style=”preset2″ box_shadow_horizontal=”-5px” box_shadow_vertical=”5px” box_shadow_blur=”7px” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” text_orientation=”center” custom_margin=”5px||5px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n Option 1:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.3em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_orientation=”center” custom_margin=”|15px|20px|15px|false|true” global_colors_info=”{}”]<\/p>\n When you join, you’ll get lifetime access to the Python Data Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”|700|||||||” text_font_size=”22px” header_3_text_align=”center” text_orientation=”center” min_height=”6px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n One payment today of:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font_size=”33px” text_line_height=”1.4em” header_2_text_align=”center” header_2_font_size=”64px” module_alignment=”center” height=”100px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” text_font_size_tablet=”33px” text_font_size_phone=”31px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”64px” header_2_font_size_phone=”54px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5287143″ button_text=”Join Now” button_alignment=”center” _builder_version=”4.23.4″ custom_button=”on” button_text_size=”40px” button_text_color=”#FFFFFF” button_bg_color=”#fda333″ button_border_width=”1px” button_border_color=”#fd8f45″ button_border_radius=”0px” button_letter_spacing=”0px” button_font=”||||||||” button_use_icon=”off” background_layout=”dark” custom_margin=”0px||20px||false|false” custom_margin_tablet=”” custom_margin_phone=”|5px||5px” custom_margin_last_edited=”on|phone” custom_padding=”|||” custom_padding_tablet=”” custom_padding_phone=”|5px||5px” custom_padding_last_edited=”on|desktop” button_text_size_tablet=”30px” button_text_size_phone=”40px” button_text_size_last_edited=”on|phone” global_colors_info=”{}” button_text_size__hover_enabled=”on|desktop” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f88924″ button_border_width__hover_enabled=”on” button_border_width__hover=”0px” button_border_color__hover_enabled=”on” custom_padding__hover_enabled=”on” button_border_color__hover=”#00bdce” button_text_size__hover=”41px” custom_padding__hover=”|||” button_bg_enable_color__hover=”on”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”||35px||false|false” global_colors_info=”{}”]<\/p>\n You\u2019ll save an extra $88<\/p>\n today when you pay in full.<\/p>\n Choose this option for the lowest price.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ background_color=”#efefef” custom_padding=”|0px||0px|false|true” box_shadow_style=”preset2″ box_shadow_horizontal=”-5px” box_shadow_vertical=”5px” box_shadow_blur=”7px” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” text_orientation=”center” custom_margin=”5px||5px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n Option 2:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.3em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_orientation=”center” custom_margin=”|15px|20px|15px|false|true” global_colors_info=”{}”]<\/p>\n When you join, you’ll get lifetime access to the Python Data Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font=”|700|||||||” text_font_size=”22px” header_3_text_align=”center” text_orientation=”center” min_height=”6px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n 5 monthly payments of:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23.4″ text_font_size=”33px” header_line_height=”0em” header_2_text_align=”center” header_2_font_size=”64px” min_height=”95px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5287147″ button_text=”Join Now” button_alignment=”center” _builder_version=”4.23.4″ custom_button=”on” button_text_size=”40px” button_text_color=”#FFFFFF” button_bg_color=”#fda333″ button_border_width=”1px” button_border_color=”#fd8f45″ button_border_radius=”0px” button_letter_spacing=”0px” button_font=”||||||||” button_use_icon=”off” background_layout=”dark” custom_margin=”0px||20px||false|false” custom_margin_tablet=”” custom_margin_phone=”|5px||5px” custom_margin_last_edited=”on|phone” custom_padding=”|||” custom_padding_tablet=”” custom_padding_phone=”|5px||5px” custom_padding_last_edited=”on|desktop” button_text_size_tablet=”30px” button_text_size_phone=”40px” button_text_size_last_edited=”on|phone” locked=”off” global_colors_info=”{}” button_text_size__hover_enabled=”on|desktop” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f88924″ button_border_width__hover_enabled=”on” button_border_width__hover=”0px” button_border_color__hover_enabled=”on” custom_padding__hover_enabled=”on” button_border_color__hover=”#00bdce” button_text_size__hover=”41px” custom_padding__hover=”|||” button_bg_enable_color__hover=”on”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”|12px|35px|12px|false|true” global_colors_info=”{}”]<\/p>\n This option is designed to be cashflow-friendly.<\/p>\n When you enroll in the 5-month payment plan,<\/p>\n you agree to make all payments.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_margin=”20px||20px||true|false” custom_padding=”0px||0px||true|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/visa-mastercard-amex.png” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.23″ max_width=”22%” max_width_tablet=”22%” max_width_phone=”60%” max_width_last_edited=”on|desktop” module_alignment=”center” custom_margin=”0px||0px” custom_padding=”0px||0px||false|false” locked=”off” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.19.1″ custom_padding=”20px|158px|5px|148px|false|false” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ custom_padding=”10px|50px|49px|50px|false|true” custom_padding_tablet=”|20px||20px||true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n According to Glassdoor, the average salary of a data scientist is almost $150,000 per year.\u00a0<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/09\/data-science-average-salary_2023-say.png” alt=”An image that shows the average salary for a data scientist, and the pay range.” title_text=”data-science-average-salary_2023-say” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.23″ width=”75%” module_alignment=”center” box_shadow_style=”preset1″ global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n That\u2019s roughly DOUBLE the median household income in the US.<\/p>\n Do the math.<\/p>\n Mastering data science skills could be worth tens of thousands of dollars in a single year.<\/p>\n And over the course of your career, data science skills could be worth hundreds of thousands of dollars<\/span><\/em>.<\/p>\n Python Data Mastery is specifically structured to help you learn and master essential data science skills as fast as possible.<\/p>\n Don\u2019t hesitate.<\/p>\n The return on investment could easily be 10x what you spend on the course.<\/p>\n Invest in your future by enrolling now.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.19.1″ custom_padding=”10px|75px|20px|75px|false|true” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_text _builder_version=”4.23″ text_font=”|600|||||||” text_font_size=”44px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” text_font_size_tablet=”44px” text_font_size_phone=”26px” text_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Yes! I want lifetime access [\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” text_orientation=”center” custom_margin=”15px||||false|false” global_colors_info=”{}”]<\/p>\n Choose your payment option:<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ _builder_version=”4.16″ custom_margin=”0px||0px||true|false” custom_padding=”5px||5px||true|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ background_color=”#efefef” custom_padding=”|0px||0px|false|true” box_shadow_style=”preset2″ box_shadow_horizontal=”-5px” box_shadow_vertical=”5px” box_shadow_blur=”7px” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” text_orientation=”center” custom_margin=”5px||5px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n Option 1:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.3em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_orientation=”center” custom_margin=”|15px|20px|15px|false|true” global_colors_info=”{}”]<\/p>\n When you join, you’ll get lifetime access to the Python Data Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”|700|||||||” text_font_size=”22px” header_3_text_align=”center” text_orientation=”center” min_height=”6px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n One payment today of:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font_size=”33px” text_line_height=”1.4em” header_2_text_align=”center” header_2_font_size=”64px” module_alignment=”center” height=”100px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” text_font_size_tablet=”33px” text_font_size_phone=”31px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”64px” header_2_font_size_phone=”54px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5287143″ button_text=”Join Now” button_alignment=”center” _builder_version=”4.23.4″ custom_button=”on” button_text_size=”40px” button_text_color=”#FFFFFF” button_bg_color=”#fda333″ button_border_width=”1px” button_border_color=”#fd8f45″ button_border_radius=”0px” button_letter_spacing=”0px” button_font=”||||||||” button_use_icon=”off” background_layout=”dark” custom_margin=”0px||20px||false|false” custom_margin_tablet=”” custom_margin_phone=”|5px||5px” custom_margin_last_edited=”on|phone” custom_padding=”|||” custom_padding_tablet=”” custom_padding_phone=”|5px||5px” custom_padding_last_edited=”on|desktop” button_text_size_tablet=”30px” button_text_size_phone=”40px” button_text_size_last_edited=”on|phone” global_colors_info=”{}” button_text_size__hover_enabled=”on|desktop” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f88924″ button_border_width__hover_enabled=”on” button_border_width__hover=”0px” button_border_color__hover_enabled=”on” custom_padding__hover_enabled=”on” button_border_color__hover=”#00bdce” button_text_size__hover=”41px” custom_padding__hover=”|||” button_bg_enable_color__hover=”on”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”||35px||false|false” global_colors_info=”{}”]<\/p>\n You\u2019ll save an extra $88<\/p>\n today when you pay in full.<\/p>\n Choose this option for the lowest price.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ background_color=”#efefef” custom_padding=”|0px||0px|false|true” box_shadow_style=”preset2″ box_shadow_horizontal=”-5px” box_shadow_vertical=”5px” box_shadow_blur=”7px” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” text_orientation=”center” custom_margin=”5px||5px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n Option 2:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.3em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_orientation=”center” custom_margin=”|15px|20px|15px|false|true” global_colors_info=”{}”]<\/p>\n When you join, you’ll get lifetime access to the Python Data Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font=”|700|||||||” text_font_size=”22px” header_3_text_align=”center” text_orientation=”center” min_height=”6px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n 5 monthly payments of:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23.4″ text_font_size=”33px” header_line_height=”0em” header_2_text_align=”center” header_2_font_size=”64px” min_height=”95px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5287147″ button_text=”Join Now” button_alignment=”center” _builder_version=”4.23.4″ custom_button=”on” button_text_size=”40px” button_text_color=”#FFFFFF” button_bg_color=”#fda333″ button_border_width=”1px” button_border_color=”#fd8f45″ button_border_radius=”0px” button_letter_spacing=”0px” button_font=”||||||||” button_use_icon=”off” background_layout=”dark” custom_margin=”0px||20px||false|false” custom_margin_tablet=”” custom_margin_phone=”|5px||5px” custom_margin_last_edited=”on|phone” custom_padding=”|||” custom_padding_tablet=”” custom_padding_phone=”|5px||5px” custom_padding_last_edited=”on|desktop” button_text_size_tablet=”30px” button_text_size_phone=”40px” button_text_size_last_edited=”on|phone” locked=”off” global_colors_info=”{}” button_text_size__hover_enabled=”on|desktop” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f88924″ button_border_width__hover_enabled=”on” button_border_width__hover=”0px” button_border_color__hover_enabled=”on” custom_padding__hover_enabled=”on” button_border_color__hover=”#00bdce” button_text_size__hover=”41px” custom_padding__hover=”|||” button_bg_enable_color__hover=”on”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”|12px|35px|12px|false|true” global_colors_info=”{}”]<\/p>\n This option is designed to be cashflow-friendly.<\/p>\n When you enroll in the 5-month payment plan,<\/p>\n you agree to make all payments.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_margin=”20px||20px||true|false” custom_padding=”0px||0px||true|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/visa-mastercard-amex.png” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.23″ max_width=”22%” max_width_tablet=”22%” max_width_phone=”60%” max_width_last_edited=”on|desktop” module_alignment=”center” custom_margin=”0px||0px” custom_padding=”0px||0px||false|false” locked=”off” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”43px|158px|1.8px|148px|false|false” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ custom_padding=”10px|50px|50px|50px|false|true” custom_padding_tablet=”|20px||20px||true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n Time is your most valuable resource.<\/p>\n It\u2019s a terrible waste of your time to try to figure data science out by yourself. Some data science students waste years learning useless skills, or struggling to learn anything at all, because they don\u2019t have any plan.<\/p>\n Python Data Mastery will save you valuable time \u2026<\/p>\n The course is highly structured and extremely efficient.<\/p>\n It\u2019s designed to enable you to learn data science in Python as fast as possible<\/em>, by teaching you the right things, in the right order, and giving you a high-performance practice system for mastering what you learn.<\/p>\n You could save yourself hundreds of hours of unnecessary work.<\/p>\n Don\u2019t try to figure it out alone.<\/p>\n If you join, you\u2019ll get a step-by-step plan.\u00a0 You\u2019ll also get a high performance practice system that will enable you to master data science skills in a matter of weeks.<\/p>\n Don\u2019t try to figure it out alone. Save yourself your valuable time.<\/p>\n Do the math. If you value an hour of your time at $50 dollars, and this course saves you just 100 hours, that\u2019s $5000 saved.<\/p>\n And personally, I value my time a lot <\/em>higher than $50 an hour.<\/p>\n If you do too \u2026 if you value your time at more than $50\/hour, then you could save thousands of dollars<\/em>.<\/p>\n Do the math.<\/p>\n This course could save you thousands of dollars, just by saving you time.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.19.1″ custom_padding=”10px|75px|20px|75px|false|true” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_text _builder_version=”4.23″ text_font=”|600|||||||” text_font_size=”44px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” text_font_size_tablet=”44px” text_font_size_phone=”26px” text_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Yes! I want lifetime access [\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” text_orientation=”center” custom_margin=”15px||||false|false” global_colors_info=”{}”]<\/p>\n Choose your payment option:<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ _builder_version=”4.16″ custom_margin=”0px||0px||true|false” custom_padding=”5px||5px||true|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ background_color=”#efefef” custom_padding=”|0px||0px|false|true” box_shadow_style=”preset2″ box_shadow_horizontal=”-5px” box_shadow_vertical=”5px” box_shadow_blur=”7px” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” text_orientation=”center” custom_margin=”5px||5px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n Option 1:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.3em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_orientation=”center” custom_margin=”|15px|20px|15px|false|true” global_colors_info=”{}”]<\/p>\n When you join, you’ll get lifetime access to the Python Data Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”|700|||||||” text_font_size=”22px” header_3_text_align=”center” text_orientation=”center” min_height=”6px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n One payment today of:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font_size=”33px” text_line_height=”1.4em” header_2_text_align=”center” header_2_font_size=”64px” module_alignment=”center” height=”100px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” text_font_size_tablet=”33px” text_font_size_phone=”31px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”64px” header_2_font_size_phone=”54px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5287143″ button_text=”Join Now” button_alignment=”center” _builder_version=”4.23.4″ custom_button=”on” button_text_size=”40px” button_text_color=”#FFFFFF” button_bg_color=”#fda333″ button_border_width=”1px” button_border_color=”#fd8f45″ button_border_radius=”0px” button_letter_spacing=”0px” button_font=”||||||||” button_use_icon=”off” background_layout=”dark” custom_margin=”0px||20px||false|false” custom_margin_tablet=”” custom_margin_phone=”|5px||5px” custom_margin_last_edited=”on|phone” custom_padding=”|||” custom_padding_tablet=”” custom_padding_phone=”|5px||5px” custom_padding_last_edited=”on|desktop” button_text_size_tablet=”30px” button_text_size_phone=”40px” button_text_size_last_edited=”on|phone” global_colors_info=”{}” button_text_size__hover_enabled=”on|desktop” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f88924″ button_border_width__hover_enabled=”on” button_border_width__hover=”0px” button_border_color__hover_enabled=”on” custom_padding__hover_enabled=”on” button_border_color__hover=”#00bdce” button_text_size__hover=”41px” custom_padding__hover=”|||” button_bg_enable_color__hover=”on”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”||35px||false|false” global_colors_info=”{}”]<\/p>\n You\u2019ll save an extra $88<\/p>\n today when you pay in full.<\/p>\n Choose this option for the lowest price.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ background_color=”#efefef” custom_padding=”|0px||0px|false|true” box_shadow_style=”preset2″ box_shadow_horizontal=”-5px” box_shadow_vertical=”5px” box_shadow_blur=”7px” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” text_orientation=”center” custom_margin=”5px||5px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n Option 2:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.3em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_orientation=”center” custom_margin=”|15px|20px|15px|false|true” global_colors_info=”{}”]<\/p>\n When you join, you’ll get lifetime access to the Python Data Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font=”|700|||||||” text_font_size=”22px” header_3_text_align=”center” text_orientation=”center” min_height=”6px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n 5 monthly payments of:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23.4″ text_font_size=”33px” header_line_height=”0em” header_2_text_align=”center” header_2_font_size=”64px” min_height=”95px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5287147″ button_text=”Join Now” button_alignment=”center” _builder_version=”4.23.4″ custom_button=”on” button_text_size=”40px” button_text_color=”#FFFFFF” button_bg_color=”#fda333″ button_border_width=”1px” button_border_color=”#fd8f45″ button_border_radius=”0px” button_letter_spacing=”0px” button_font=”||||||||” button_use_icon=”off” background_layout=”dark” custom_margin=”0px||20px||false|false” custom_margin_tablet=”” custom_margin_phone=”|5px||5px” custom_margin_last_edited=”on|phone” custom_padding=”|||” custom_padding_tablet=”” custom_padding_phone=”|5px||5px” custom_padding_last_edited=”on|desktop” button_text_size_tablet=”30px” button_text_size_phone=”40px” button_text_size_last_edited=”on|phone” locked=”off” global_colors_info=”{}” button_text_size__hover_enabled=”on|desktop” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f88924″ button_border_width__hover_enabled=”on” button_border_width__hover=”0px” button_border_color__hover_enabled=”on” custom_padding__hover_enabled=”on” button_border_color__hover=”#00bdce” button_text_size__hover=”41px” custom_padding__hover=”|||” button_bg_enable_color__hover=”on”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”|12px|35px|12px|false|true” global_colors_info=”{}”]<\/p>\n This option is designed to be cashflow-friendly.<\/p>\n When you enroll in the 5-month payment plan,<\/p>\n you agree to make all payments.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_margin=”20px||20px||true|false” custom_padding=”0px||0px||true|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/visa-mastercard-amex.png” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.23″ max_width=”22%” max_width_tablet=”22%” max_width_phone=”60%” max_width_last_edited=”on|desktop” module_alignment=”center” custom_margin=”0px||0px” custom_padding=”0px||0px||false|false” locked=”off” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”43px|158px|3.8px|148px|false|false” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ custom_padding=”10px|50px|50px|50px|false|true” custom_padding_tablet=”|20px||20px||true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” inline_fonts=”Times New Roman” global_colors_info=”{}”]<\/p>\n If you\u2019re like most data science students, you\u2019ve tried a lot of methods to learn data science.<\/p>\n \u2026 books, free blog posts, YouTube videos, searches on Google and Stack Overflow.<\/p>\n You might have even taken a few online courses.<\/p>\n I probably don\u2019t need to tell you this, but most methods simply don\u2019t work.<\/p>\n Let me ask you: have you read a data science book and \u201clearned\u201d a few things, but then found that you forgot almost all of it a few weeks later?<\/p>\n I\u2019d be willing to bet that you have.<\/p>\n I personally know one data science student who spent $30,000 on a prestigious data science masters degree.<\/p>\n He learned a few things, but a few weeks after the program ended, he realized that he forgot most of it.<\/p>\n Think about that.\u00a0 $30K.\u00a0 Gone.<\/p>\n There\u2019s a happy ending to this story though.<\/p>\n He enrolled in one of our data science courses, and became highly proficient in writing data science code within a few weeks.<\/p>\n And there are many other students who have had great results.<\/p>\n You can get great results too …<\/p>\n \u2026. imagine if you were fluent in writing Python code.<\/p>\n \u2026. imagine if you could memorize data science syntax.<\/p>\n \u2026. imagine that you could do these things in a matter of weeks.<\/p>\n You can, if you invest yourself and enroll in Python Data Mastery.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.19.1″ custom_padding=”10px|75px|20px|75px|false|true” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_text _builder_version=”4.23″ text_font=”|600|||||||” text_font_size=”44px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” text_font_size_tablet=”44px” text_font_size_phone=”26px” text_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Yes! I want lifetime access [\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” text_orientation=”center” custom_margin=”15px||||false|false” global_colors_info=”{}”]<\/p>\n Choose your payment option:<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ _builder_version=”4.16″ custom_margin=”0px||0px||true|false” custom_padding=”5px||5px||true|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ background_color=”#efefef” custom_padding=”|0px||0px|false|true” box_shadow_style=”preset2″ box_shadow_horizontal=”-5px” box_shadow_vertical=”5px” box_shadow_blur=”7px” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” text_orientation=”center” custom_margin=”5px||5px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n Option 1:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.3em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_orientation=”center” custom_margin=”|15px|20px|15px|false|true” global_colors_info=”{}”]<\/p>\n When you join, you’ll get lifetime access to the Python Data Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”|700|||||||” text_font_size=”22px” header_3_text_align=”center” text_orientation=”center” min_height=”6px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n One payment today of:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font_size=”33px” text_line_height=”1.4em” header_2_text_align=”center” header_2_font_size=”64px” module_alignment=”center” height=”100px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” text_font_size_tablet=”33px” text_font_size_phone=”31px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”64px” header_2_font_size_phone=”54px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5287143″ button_text=”Join Now” button_alignment=”center” _builder_version=”4.23.4″ custom_button=”on” button_text_size=”40px” button_text_color=”#FFFFFF” button_bg_color=”#fda333″ button_border_width=”1px” button_border_color=”#fd8f45″ button_border_radius=”0px” button_letter_spacing=”0px” button_font=”||||||||” button_use_icon=”off” background_layout=”dark” custom_margin=”0px||20px||false|false” custom_margin_tablet=”” custom_margin_phone=”|5px||5px” custom_margin_last_edited=”on|phone” custom_padding=”|||” custom_padding_tablet=”” custom_padding_phone=”|5px||5px” custom_padding_last_edited=”on|desktop” button_text_size_tablet=”30px” button_text_size_phone=”40px” button_text_size_last_edited=”on|phone” global_colors_info=”{}” button_text_size__hover_enabled=”on|desktop” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f88924″ button_border_width__hover_enabled=”on” button_border_width__hover=”0px” button_border_color__hover_enabled=”on” custom_padding__hover_enabled=”on” button_border_color__hover=”#00bdce” button_text_size__hover=”41px” custom_padding__hover=”|||” button_bg_enable_color__hover=”on”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”||35px||false|false” global_colors_info=”{}”]<\/p>\n You\u2019ll save an extra $88<\/p>\n today when you pay in full.<\/p>\n Choose this option for the lowest price.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ background_color=”#efefef” custom_padding=”|0px||0px|false|true” box_shadow_style=”preset2″ box_shadow_horizontal=”-5px” box_shadow_vertical=”5px” box_shadow_blur=”7px” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” text_orientation=”center” custom_margin=”5px||5px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n Option 2:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.3em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_orientation=”center” custom_margin=”|15px|20px|15px|false|true” global_colors_info=”{}”]<\/p>\n When you join, you’ll get lifetime access to the Python Data Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font=”|700|||||||” text_font_size=”22px” header_3_text_align=”center” text_orientation=”center” min_height=”6px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n 5 monthly payments of:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23.4″ text_font_size=”33px” header_line_height=”0em” header_2_text_align=”center” header_2_font_size=”64px” min_height=”95px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5287147″ button_text=”Join Now” button_alignment=”center” _builder_version=”4.23.4″ custom_button=”on” button_text_size=”40px” button_text_color=”#FFFFFF” button_bg_color=”#fda333″ button_border_width=”1px” button_border_color=”#fd8f45″ button_border_radius=”0px” button_letter_spacing=”0px” button_font=”||||||||” button_use_icon=”off” background_layout=”dark” custom_margin=”0px||20px||false|false” custom_margin_tablet=”” custom_margin_phone=”|5px||5px” custom_margin_last_edited=”on|phone” custom_padding=”|||” custom_padding_tablet=”” custom_padding_phone=”|5px||5px” custom_padding_last_edited=”on|desktop” button_text_size_tablet=”30px” button_text_size_phone=”40px” button_text_size_last_edited=”on|phone” locked=”off” global_colors_info=”{}” button_text_size__hover_enabled=”on|desktop” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f88924″ button_border_width__hover_enabled=”on” button_border_width__hover=”0px” button_border_color__hover_enabled=”on” custom_padding__hover_enabled=”on” button_border_color__hover=”#00bdce” button_text_size__hover=”41px” custom_padding__hover=”|||” button_bg_enable_color__hover=”on”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”|12px|35px|12px|false|true” global_colors_info=”{}”]<\/p>\n This option is designed to be cashflow-friendly.<\/p>\n When you enroll in the 5-month payment plan,<\/p>\n you agree to make all payments.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_margin=”20px||20px||true|false” custom_padding=”0px||0px||true|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/visa-mastercard-amex.png” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.23″ max_width=”22%” max_width_tablet=”22%” max_width_phone=”60%” max_width_last_edited=”on|desktop” module_alignment=”center” custom_margin=”0px||0px” custom_padding=”0px||0px||false|false” locked=”off” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.16″ custom_padding=”43px|158px|3.8px|148px|false|false” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ custom_padding=”10px|50px|50px|50px|false|true” custom_padding_tablet=”|20px||20px||true” custom_padding_phone=”18px|0px||0px|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” inline_fonts=”Times New Roman” global_colors_info=”{}”]<\/p>\n If you find yourself at home more often right now, Python Data Mastery is perfect for you.<\/p>\n This course is 100% online.<\/p>\n The lecture lessons are taught by video, and you can watch them whenever you like. And you can watch the videos as many times as you like.<\/p>\n We provide you with practice code that you can download and run on your home computer, along with a set of “code walkthrough” videos that explain the code line by line.<\/p>\n And the course will give you a set of practice exercises that you can use to master all of the techniques. You can do this practice at home, whenever it’s convenient for you.<\/p>\n With Python Data Mastery, you can master data science in Python from the comfort of your couch or home office.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” _builder_version=”4.19.1″ custom_padding=”10px|75px|20px|75px|false|true” custom_padding_tablet=”21px|50px||50px|false|false” custom_padding_phone=”|20px||20px” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_text _builder_version=”4.23″ text_font=”|600|||||||” text_font_size=”44px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” text_font_size_tablet=”44px” text_font_size_phone=”26px” text_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n Yes! I want lifetime access [\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” text_orientation=”center” custom_margin=”15px||||false|false” global_colors_info=”{}”]<\/p>\n Choose your payment option:<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ _builder_version=”4.16″ custom_margin=”0px||0px||true|false” custom_padding=”5px||5px||true|false” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ background_color=”#efefef” custom_padding=”|0px||0px|false|true” box_shadow_style=”preset2″ box_shadow_horizontal=”-5px” box_shadow_vertical=”5px” box_shadow_blur=”7px” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” text_orientation=”center” custom_margin=”5px||5px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n Option 1:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.3em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_orientation=”center” custom_margin=”|15px|20px|15px|false|true” global_colors_info=”{}”]<\/p>\n When you join, you’ll get lifetime access to the Python Data Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”|700|||||||” text_font_size=”22px” header_3_text_align=”center” text_orientation=”center” min_height=”6px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n One payment today of:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font_size=”33px” text_line_height=”1.4em” header_2_text_align=”center” header_2_font_size=”64px” module_alignment=”center” height=”100px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” text_font_size_tablet=”33px” text_font_size_phone=”31px” text_font_size_last_edited=”on|phone” header_2_font_size_tablet=”64px” header_2_font_size_phone=”54px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5287143″ button_text=”Join Now” button_alignment=”center” _builder_version=”4.23.4″ custom_button=”on” button_text_size=”40px” button_text_color=”#FFFFFF” button_bg_color=”#fda333″ button_border_width=”1px” button_border_color=”#fd8f45″ button_border_radius=”0px” button_letter_spacing=”0px” button_font=”||||||||” button_use_icon=”off” background_layout=”dark” custom_margin=”0px||20px||false|false” custom_margin_tablet=”” custom_margin_phone=”|5px||5px” custom_margin_last_edited=”on|phone” custom_padding=”|||” custom_padding_tablet=”” custom_padding_phone=”|5px||5px” custom_padding_last_edited=”on|desktop” button_text_size_tablet=”30px” button_text_size_phone=”40px” button_text_size_last_edited=”on|phone” global_colors_info=”{}” button_text_size__hover_enabled=”on|desktop” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f88924″ button_border_width__hover_enabled=”on” button_border_width__hover=”0px” button_border_color__hover_enabled=”on” custom_padding__hover_enabled=”on” button_border_color__hover=”#00bdce” button_text_size__hover=”41px” custom_padding__hover=”|||” button_bg_enable_color__hover=”on”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”||35px||false|false” global_colors_info=”{}”]<\/p>\n You\u2019ll save an extra $138<\/p>\n today when you pay in full.<\/p>\n Choose this option for the lowest price.<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ background_color=”#efefef” custom_padding=”|0px||0px|false|true” box_shadow_style=”preset2″ box_shadow_horizontal=”-5px” box_shadow_vertical=”5px” box_shadow_blur=”7px” global_colors_info=”{}”][et_pb_text _builder_version=”4.22.2″ _module_preset=”default” text_orientation=”center” custom_margin=”5px||5px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n Option 2:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.3em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_orientation=”center” custom_margin=”|15px|20px|15px|false|true” global_colors_info=”{}”]<\/p>\n When you join, you’ll get lifetime access to the Python Data Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23″ text_font=”|700|||||||” text_font_size=”22px” header_3_text_align=”center” text_orientation=”center” min_height=”6px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n 5 monthly payments of:<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.23.4″ text_font_size=”33px” header_line_height=”0em” header_2_text_align=”center” header_2_font_size=”64px” min_height=”95px” custom_margin=”0px||0px||true|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5287147″ button_text=”Join Now” button_alignment=”center” _builder_version=”4.23.4″ custom_button=”on” button_text_size=”40px” button_text_color=”#FFFFFF” button_bg_color=”#fda333″ button_border_width=”1px” button_border_color=”#fd8f45″ button_border_radius=”0px” button_letter_spacing=”0px” button_font=”||||||||” button_use_icon=”off” background_layout=”dark” custom_margin=”0px||20px||false|false” custom_margin_tablet=”” custom_margin_phone=”|5px||5px” custom_margin_last_edited=”on|phone” custom_padding=”|||” custom_padding_tablet=”” custom_padding_phone=”|5px||5px” custom_padding_last_edited=”on|desktop” button_text_size_tablet=”30px” button_text_size_phone=”40px” button_text_size_last_edited=”on|phone” locked=”off” global_colors_info=”{}” button_text_size__hover_enabled=”on|desktop” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f88924″ button_border_width__hover_enabled=”on” button_border_width__hover=”0px” button_border_color__hover_enabled=”on” custom_padding__hover_enabled=”on” button_border_color__hover=”#00bdce” button_text_size__hover=”41px” custom_padding__hover=”|||” button_bg_enable_color__hover=”on”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”20px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”|12px|35px|12px|false|true” global_colors_info=”{}”]<\/p>\n This option is designed to be cashflow-friendly.<\/p>\n When you enroll in the 5-month payment plan,<\/p>\n you agree to make all payments.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_margin=”20px||20px||true|false” custom_padding=”0px||0px||true|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/visa-mastercard-amex.png” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.23″ max_width=”22%” max_width_tablet=”22%” max_width_phone=”60%” max_width_last_edited=”on|desktop” module_alignment=”center” custom_margin=”0px||0px” custom_padding=”0px||0px||false|false” locked=”off” 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[\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Master Python Data Science\u00a0in 10 Minutes per Day…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","om_disable_all_campaigns":true,"footnotes":""},"publishpress_future_action":{"enabled":false,"date":"2024-05-14 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Companies are Going to Test You<\/p>\nWhat if you could master data science in as little as 10 minutes per day?<\/h2>\n
Learn practical
data science skills<\/h3>\nMemorize Data Science Syntax<\/h3>\n
Discover How to “Put the Pieces Together”<\/h3>\n
Become “fluent” in python<\/h3>\n
Master data science within weeks<\/em><\/h3>\n
Master data science in 10 minutes per day<\/h3>\n
\n
\n
\n
\n
\n
\n
and Dataset Preparation<\/p>\n
\nwith Scikit Learn<\/p>\n\n
5 Visualization Mistakes
That Make You Look Like an Amateur<\/p>\n\n
5 Ways To Improve
Your Data Visualizations<\/p>\n\n
Data Science Cheat Sheets<\/p>\n\n
SQL Essentials<\/p>\n
(so you can ace your coding exam)<\/p>\nAbout Your Instructor<\/h2>\n
Read What our Students are saying about\u00a0 our courses and training method<\/h2>\n
![\"\u2705\"](\"https:\/\/s.w.org\/images\/core\/emoji\/11.2.0\/svg\/2705.svg\")
Over 70 video lessons<\/p>\n Over 17 hours of video content<\/p>\n Over 500 practice exercises<\/p>\n A system for practicing syntax (this works so well, you\u2019ll be writing code \u201cwith your eyes closed\u201d)<\/p>\n Lifetime access to course materials (access everyday, 24\/7, permanently)<\/p>\n Free access to all future updates to the Python Data Mastery course<\/p>\n
is right for you if answer YES<\/span> to
any of these questions…<\/p>\n Do you want to learn data science in Python as fast as possible?<\/p>\n Do you want to learn NumPy, Pandas, Matplotlib, or Seaborn?<\/p>\n Do you want to increase your skill in data visualization?<\/p>\n Do you need to manipulate your data into shape?<\/p>\n Do you feel like you\u2019ve gotten as far as you can on your own?<\/p>\n Are you ready to invest in your skill set and accelerate your data science learning?<\/p>\n Do you want to learn the best ways to do data visualization and data manipulation in Python?<\/p>\n Do you want to become a data scientist?<\/p>\n You want to be more productive with your data projects?<\/p>\n Do you want to learn the “foundation” for advanced data science topics?<\/p>\n Are you overwhelmed with data science material?<\/p>\n Have you taken other data science courses, but still feel \u201clost\u201d or \u201cconfused\u201d when you work on projects?<\/p>\n Do you want to use a proven system to help you master data science?<\/p>\n Do you want a clear, and you want a clear step-by-step course that will help you master the foundations of data science in Python?<\/p>\n Do you sometimes forget critical Python Syntax?<\/p>\n Are you interested in memorizing the syntax for doing data science in Python?<\/p>\n Do you want to write Python code “fluently” ?<\/p>\n Do you struggle to find time to study and practice?<\/p>\n
<\/em><\/span><\/p>\nFrequently Asked Questions<\/h2>\n
risk-free for 30 days<\/p>\n
to Python Data Mastery!<\/p>\nOne Time
Payment<\/h2>\n$697<\/h2>\n
Monthly
Installments<\/h2>\n$167<\/h2>\n
This could be worth hundreds of
thousands of dollars<\/h2>\n
to Python Data Mastery!<\/p>\nOne Time
Payment<\/h2>\n$697<\/h2>\n
Monthly
Installments<\/h2>\n$167<\/h2>\n
You could save yourself
years<\/em><\/span> of time<\/h2>\n
to Python Data Mastery!<\/p>\nOne Time
Payment<\/h2>\n$697<\/h2>\n
Monthly
Installments<\/h2>\n$167<\/h2>\n
Invest in a system that works<\/h2>\n
to Python Data Mastery!<\/p>\nOne Time
Payment<\/h2>\n$697<\/h2>\n
Monthly
Installments<\/h2>\n$167<\/h2>\n
Learn data science
\nfrom home<\/h2>\n
to Python Data Mastery!<\/p>\nOne Time
Payment<\/h2>\n$697<\/h2>\n
Monthly
Installments<\/h2>\n$167<\/h2>\n