{"id":7930,"date":"2024-01-16T14:00:27","date_gmt":"2024-01-16T20:00:27","guid":{"rendered":"https:\/\/www.sharpsightlabs.com\/?page_id=7930"},"modified":"2024-01-17T15:23:13","modified_gmt":"2024-01-17T21:23:13","slug":"pandas-mastery-main-menu","status":"publish","type":"page","link":"https:\/\/www.sharpsightlabs.com\/pandas-mastery-main-menu\/","title":{"rendered":"Join Pandas Mastery \u2013 Main Menu"},"content":{"rendered":"

[et_pb_section fb_built=”1″ _builder_version=”4.16″ background_color=”#2a2b2d” custom_margin=”0px||0px||true” custom_padding=”0px||0px||true” global_colors_info=”{}”][et_pb_row column_structure=”1_4,3_4″ module_class=” et_pb_row_fullwidth” _builder_version=”4.16″ width=”89%” width_tablet=”80%” width_phone=”” width_last_edited=”on|desktop” max_width=”89%” max_width_tablet=”80%” max_width_phone=”” max_width_last_edited=”on|desktop” custom_padding=”0px|0px|0|0px|false|false” make_fullwidth=”on” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2018\/03\/SharpSight_Logo_Final_Web.png” align_tablet=”center” align_phone=”” align_last_edited=”on|desktop” _builder_version=”4.16″ max_width=”83%” custom_margin=”15px||15px||true” custom_padding=”15px||15px||true” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”3_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″ _builder_version=”4.16″ custom_padding=”13px|0|3.2px|0|false|false” global_colors_info=”{}”][et_pb_row _builder_version=”4.22.2″ custom_padding=”40px|0px|40px|0|true|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=”4.23.4″ text_font=”|600|||||||” text_font_size=”57px” text_line_height=”1.4em” header_font=”||||||||” header_font_size=”48px” hover_enabled=”0″ text_font_size_tablet=”46px” text_font_size_phone=”26px” text_font_size_last_edited=”on|desktop” header_font_size_tablet=”44px” header_font_size_phone=”28px” header_font_size_last_edited=”on|phone” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Master Python Data Wrangling
in 10 Minutes per Day<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|phone” _builder_version=”4.16″ custom_padding=”0|175px|2px|175px|false|true” custom_padding_tablet=”0|63px|2px|70px|false|false” custom_padding_phone=”|20px||20px” 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=”4.22.2″ text_font=”||||||||” text_font_size=”24px” text_orientation=”center” width=”100%” global_colors_info=”{}”]<\/p>\n

Discover our step-by-step system for mastering Python data manipulation with Pandas, in as little as 10 minutes per day<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|desktop” _builder_version=”4.22.2″ custom_padding=”20px|303px|20px|303px|true|true” custom_padding_tablet=”|90px||90px|false|false” custom_padding_phone=”4px|5px||18px|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=”4.22.2″ text_font=”||||||||” text_font_size=”20px” ul_font=”||||||||” global_colors_info=”{}”]<\/p>\n

\u2022 Master data manipulation with Pandas
\u2022 Memorize Pandas syntax in weeks
\u2022 In as little as 10 minutes of day<\/span>
\u2022 Even if you have limited time \u2026<\/p>\n

[\/et_pb_text][et_pb_icon font_icon=”7||divi||400″ _builder_version=”4.23″ _module_preset=”default” locked=”off” global_colors_info=”{}”][\/et_pb_icon][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ custom_padding=”24.6px|90px|24.6px|90px|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_divider color=”#6c2be9″ divider_weight=”3px” _builder_version=”4.16″ height=”0px” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ custom_padding=”||3px|||” global_colors_info=”{}”][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=”4.16″ _module_preset=”default” text_font=”|700|||||||” 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” 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_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/09\/ebner_work-history-logos_v3.png” title_text=”ebner_work-history-logos_v3″ _builder_version=”4.22.2″ _module_preset=”default” width=”75%” module_alignment=”center” box_shadow_style=”preset2″ global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.22.2″ custom_margin=”10px||||false|false” custom_padding=”24.6px|90px|24.6px|90px|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_divider color=”#6c2be9″ divider_weight=”3px” _builder_version=”4.16″ height=”0px” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|phone” _builder_version=”4.22.2″ custom_margin=”40px||||false|false” 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=”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=”||20px||false|false” custom_padding=”||7px|||” text_font_size_tablet=”” text_font_size_phone=”” text_font_size_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

I\u2019m sure that you know that data science is extremely valuable.<\/p>\n

Right now, the average pay for a data scientist is almost $150,000.<\/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=”center” _builder_version=”4.22.1″ _module_preset=”default” custom_margin=”20px||20px||true|false” box_shadow_style=”preset2″ box_shadow_horizontal=”-1px” box_shadow_vertical=”8px” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.22.1″ text_font=”||||||||” text_font_size=”20px” custom_margin=”30px||20px||false|false” custom_padding=”||7px|||” text_font_size_tablet=”” text_font_size_phone=”” text_font_size_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

That’s about $50K more than an engineer or software developer.<\/p>\n

And about $75K more than a traditional data analyst.<\/p>\n

You could make a lot more money by transitioning to a data science job.<\/p>\n

BUT, getting one of those data science jobs will be challenging.<\/p>\n

And a few specific problems will stand in your way …<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.22.1″ text_font=”|600|||||||” text_text_color=”#122f47″ text_font_size=”50px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”25px||25px||true|false” global_colors_info=”{}”]<\/p>\n

Problem 1:
You Need to Know
Data Wrangling<\/p>\n

[\/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” global_colors_info=”{}”]<\/p>\n

If you’re doing data science work, you’re going to need to use data wrangling for almost every part of your workflow.<\/p>\n

In fact, by some estimates, data wrangling is up to 80% of all data science work.\u00a0<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font=”|600|||||||” text_text_color=”#122f47″ text_font_size=”42px” text_line_height=”1.2em” text_orientation=”center” custom_margin=”25px||25px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n

80% of data science
is data preparation<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.17.4″ 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

It sounds like a lot, but honestly, it’s true.<\/p>\n

A massive amount of your data science work will just be data manipulation.<\/p>\n

… retrieving data<\/p>\n

… cleaning data<\/p>\n

… combining data<\/p>\n

… and reshaping data<\/p>\n

If you want to be great at data science …<\/p>\n

And if you want to make more money with data skills …<\/p>\n

Then you need to master data wrangling.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.22.1″ text_font=”|600|||||||” text_text_color=”#122f47″ text_font_size=”50px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”25px||25px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Problem 2:
Companies are Going to Test You<\/p>\n

[\/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

You’ll need to submit resumes that explicitly tell them that you have the skills that they’re looking for.<\/p>\n

You’ll need to be able to tell recruiters and hiring managers that “Yes … I can get data, clean it up, combine it, reshape it, aggregate it, and analyze it.”<\/p>\n

But … there’s more<\/p>\n

They’re going to test you.<\/p>\n

Before I got my job at Apple, they tested me on my ability to write 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

They’re going to test to see that you can get data, remove missing values, add variables, remove variables, create subsets, transpose your data … and on and on.<\/p>\n

Like it or not, if you want that $150,000 data science job, you need to have the code memorized<\/em> to be able to do those data wrangling tasks.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.22.1″ text_font=”|600|||||||” text_text_color=”#122f47″ text_font_size=”50px” text_line_height=”1.3em” text_orientation=”center” custom_margin=”25px||25px||true|false” locked=”off” global_colors_info=”{}”]<\/p>\n

Problem 3:
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 wrangling is hard enough for most beginners.<\/p>\n

But the general difficulty is made worse by another factor.<\/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 wrangling 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

Look. \u00a0<\/p>\n

You’ll need to solve these problems if you want to make more data science … otherwise you’re going to wake up in months (even years) in the same bad job, being paid less than you want.<\/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=”4.16″ custom_padding=”|150px||150px|false|true” custom_padding_tablet=”|50px||50px|false|true” custom_padding_phone=”|20px||20px|false|true” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ 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=”4.16″ width=”22%” 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=”4.17.4″ 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

It’s possible to master Python data wrangling in a few weeks, with as little as 10 minutes per day, if<\/em> you have a hyper-efficient, step-by-step system to learn it.<\/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|||” 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 _builder_version=”4.17.4″ text_font=”||||||||” text_font_size=”20px” custom_padding=”||5px||false|false” text_font_size_tablet=”” text_font_size_phone=”” text_font_size_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

I have some good news for you though.<\/p>\n

Learning data wrangling in Python really doesn’t need to be so hard.<\/p>\n

After struggling to master this skill for a long time, I decided to create a fast, efficient, and effective way to learn Pandas.<\/p>\n

So studied everything I could find about learning faster and more efficiently.<\/p>\n

I read books about memory and cognitive neuroscience.<\/p>\n

I read books about how “polyglots” learn languages.<\/p>\n

I read books by elite athletes and Navy Seals, to find out how they practice and train.<\/p>\n

Eventually, I began noticing patterns.<\/p>\n

And I finally “cracked the code” on learning data science.<\/p>\n

It has changed everything for me and my students.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.17.4″ text_font=”||||||||” text_font_size=”20px” header_3_font=”|600|||||||” header_3_text_align=”center” header_3_line_height=”1.3em” custom_margin=”30px||||false|false” custom_padding=”||5px||false|false” text_font_size_tablet=”” text_font_size_phone=”” text_font_size_last_edited=”on|desktop” global_colors_info=”{}”]<\/p>\n

What if You Could Master Data Wrangling in Python in Only A Few Weeks, in As Little As 10 Minutes Per Day?<\/h3>\n

After months (and frankly, years) of trying to master data wrangling in Python, I developed a step-by-step system to help people master data science skills.<\/p>\n

This system is hyper-efficient …<\/p>\n

So it’s perfect if you have limited time.<\/p>\n

And importantly, it will help you memorize all of the Pandas syntax that you learn.<\/p>\n

So if you practice like I show you, you’ll master Pandas data wrangling in a few weeks, 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=”4.16″ background_color=”#6c2be9″ custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ min_height=”75px” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”0px||0px||true|false” global_colors_info=”{}”][et_pb_divider show_divider=”off” _builder_version=”4.16″ max_width=”21%” min_height=”20px” 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|phone” _builder_version=”4.16″ 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″ min_height=”130px” custom_padding=”53px|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=”4.16″ text_font=”|||||on|||” text_font_size=”22px” header_font=”||||||||” text_orientation=”center” text_text_align=”center” global_colors_info=”{}”]<\/p>\n

Introducing …<\/p>\n

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Pandas 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=”4.16″ 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″ 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=”4.17.4″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

A systematic, step-by-step course to help you quickly and efficiently master data manipulation in Python using Pandas.<\/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

Learn the essential tools of data manipulation in Python<\/h3>\n

[\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

Pandas Mastery simplifies data manipulation by focussing on the most important, most frequently used tools.<\/p>\n

I’m sure you’ve heard of the 80\/20 rule: 80% of the output comes from 20% of the inputs.<\/p>\n

The 80\/20 rule applies to data manipulation too …<\/p>\n

Roughly speaking, a small number of functions and tools account for the vast majority of data manipulation code. If you break it down, there are about 2 dozen techniques that make up the vast<\/em> majority of data manipulation work.<\/p>\n

Pandas Mastery will tell you exactly what those techniques are … the techniques that you absolutely need to know.<\/p>\n

It breaks them down, piece by piece, so you can understand them …<\/p>\n

And it gives you a practice system so you can memorize<\/em> the syntax for these “most important” functions.<\/p>\n

This course will enable you to master all of the essential techniques that you need<\/em> to know for getting data, cleaning data, reshaping data, and aggregating data.<\/p>\n

When you join Pandas Mastery, you’ll master all of the essential techniques of data manipulation in Python, using the Pandas package.<\/p>\n

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Memorize Pandas Syntax<\/h3>\n

[\/et_pb_text][et_pb_text _builder_version=”4.17.4″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

One of the secrets of the course is showing you how to memorize<\/em> Pandas syntax..<\/p>\n

If you’ve ever forgotten Python code,\u00a0this is the solution you’ve been looking for<\/em>.<\/p>\n

Pandas Mastery will teach you all of the critical Pandas syntax that you need to know …<\/p>\n

But it will also show you a unique practice system that will enable you to memorize<\/u> all of that Pandas syntax.<\/p>\n

Looking up Pandas syntax on Google will become a thing of the past.<\/p>\n

This will save you lots valuable time, because you’ll avoid re-learning<\/em> things.<\/p>\n

If you practice like we show you, you’ll learn all of the Pandas data manipulation syntax, and you’ll remember it forever<\/strong>.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

Discover how to “put the pieces together”<\/h3>\n

[\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}” content__hover_enabled=”on|desktop” content__hover=”<\/p>\n

Learning individual Pandas functions and methods is important, but if you want to master data manipulation with Pandas, you need to learn how to put the individual pieces together.<\/p>\n

In Pandas Mastery, you’ll discover how to combine individual Pandas methods together into %22chains%22 of Pandas code<\/p>\n

(If you’ve ever used %22pipes%22 in R’s dplyr, this is very similar !)<\/p>\n

Learning this method of chaining together Pandas tools is absolutely essential for mastering data manipulation in Python.<\/p>\n

We’ll show you how to do this so you can perform complex data manipulations with ease.<\/p>\n

“]<\/p>\n

Learning individual Pandas functions and methods is important, but if you want to master data manipulation with Pandas, you need to learn how to put the individual pieces together.<\/p>\n

In Pandas Mastery, you’ll discover how to combine individual Pandas methods together into “chains” of Pandas code<\/p>\n

(If you’ve ever used “pipes” in R’s dplyr, this is very similar !)<\/p>\n

Learning this method of chaining together Pandas tools is absolutely essential for mastering data manipulation in Python.<\/p>\n

We’ll show you how to do this so you can perform complex data manipulations with ease.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.17.4″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

Master Pandas as Efficiently as possible<\/h3>\n

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If you’re busy and struggle to find time, this course will help you maximize your limited time.<\/p>\n

Pandas Mastery is designed to be hyper-efficient.<\/p>\n

It breaks everything down into small, easy-to-understand units.<\/p>\n

It gives you an efficient system to practice what you learn. So you can memorize everything in as little as 10 minutes per day.<\/p>\n

And it will show you how to “put the pieces together” so you can do real work. This will help you avoid wasting time trying to “figure it out” on your own. This course will show you exactly how to get things done, which will make you personally more efficient.<\/p>\n

I designed this course to be the fastest, clearest, most efficient way for you to master Pandas.<\/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″ min_height=”549px” custom_padding=”|150px|108px|150px|false|true” custom_padding_tablet=”|50px||50px|false|true” custom_padding_phone=”|20px||20px|false|true” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ 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_text _builder_version=”4.16″ text_font=”|600|||||||” text_text_color=”#122f47″ text_font_size=”38px” text_line_height=”1.4em” text_orientation=”center” global_colors_info=”{}”]<\/p>\n

Pandas Mastery will walk you through a systematic, step-by-step process that will help you master the Pandas package, and enable you to wrangle your data with ease.<\/p>\n

[\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2020\/02\/blue-key-image.png” align=”center” _builder_version=”4.16″ width=”22%” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ background_color=”#e8e8e8″ custom_padding=”|100px|40px|100px||” 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″ text_font=”Georgia||||||||” text_font_size=”50px” 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=”4.16″ 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=”38px” custom_margin=”5px||15px||false” custom_padding=”0px||0px” header_2_font_size_tablet=”22px” header_2_font_size_phone=”17px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

In Pandas Mastery, you’ll learn essential data manipulation skills, systematically<\/h2>\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

Pandas Mastery will teach you the essential skills of data manipulation using the Pandas package.<\/p>\n

But the course is highly structured.<\/em><\/p>\n

You’ll learn Pandas tools in a way that’s efficient, effective, and fast.<\/p>\n

To do this, the course is divided up into several different modules:<\/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=”4.16″ text_font=”|300|||||||” text_font_size=”20px” min_height=”45px” custom_margin=”||4px|||” custom_padding=”||13px|||” global_colors_info=”{}”]<\/p>\n

In Module 1, you’ll learn:<\/p>\n

[\/et_pb_text][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 Basics<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

In module 1, you’ll learn the essential foundations of data manipulation with Pandas.<\/p>\n

[\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2020\/02\/pandas-dataframe-laptop-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

Specifically, you\u2019ll learn:<\/p>\n

    \n
  • What dataframes are<\/li>\n
  • The basics of dataframe indexes<\/li>\n
  • How to create dataframes from raw data<\/li>\n
  • How to create dataframes from csv files<\/li>\n
  • How to use the loc and iloc methods to subset data<\/li>\n<\/ul>\n

    If you’re a true beginner to Pandas, 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 Pandas, you’ll discover a training system that will enable you to memorize and master 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=”4.16″ text_font=”|300|||||||” text_font_size=”20px” min_height=”45px” custom_margin=”||4px|||” custom_padding=”||13px|||” global_colors_info=”{}”]<\/p>\n

    In Module 2, you’ll learn:<\/p>\n

    [\/et_pb_text][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

    Data Manipulation Methods, Part 1<\/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 Pandas basics, you’ll start to learn about some of the essential data manipulation methods of Pandas.<\/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\/2020\/04\/pandas-set_index-video-slide.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

    These data manipulation methods are the essential toolkit of Pandas that enable you to “wrangle” your data into shape.<\/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 Data Manipulation Methods, Part 1 module, you’ll learn:<\/p>\n

      \n
    • How to set the index of a dataframe<\/li>\n
    • How to reset<\/i> the index of a dataframe<\/li>\n
    • How to delete variables from a dataframe<\/li>\n
    • How to drop missing values from a dataframe<\/li>\n
    • How to fill in missing values<\/li>\n<\/ul>\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’ll get practice exercises that will help you systematically practice, memorize, and master all of these data manipulation tools.<\/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=”|300|||||||” text_font_size=”20px” min_height=”45px” custom_margin=”||4px|||” custom_padding=”||13px|||” global_colors_info=”{}”]<\/p>\n

      In Module 3, you’ll learn:<\/p>\n

      [\/et_pb_text][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

      Data Manipulation Methods, Part 2<\/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

      In the Data Manipulation Methods, Part 2 module, you’ll learn more essential data manipulation tools.<\/p>\n

       <\/p>\n

      [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2020\/04\/pandas-assign-syntax-video-slide.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

      Specifically, you’ll learn:<\/p>\n

        \n
      • How to add variables to a dataframe<\/li>\n
      • How to retrieve specific columns from a dataframe<\/li>\n
      • How to retrieve specific rows from a dataframe (based on logical conditions)<\/li>\n
      • How to rename variables<\/li>\n
      • How to sort the values in a dataframe<\/li>\n<\/ul>\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=”|300|||||||” text_font_size=”20px” min_height=”45px” custom_margin=”||4px|||” custom_padding=”||13px|||” global_colors_info=”{}”]<\/p>\n

        In Module 4, you’ll learn:<\/p>\n

        [\/et_pb_text][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

        Data Manipulation Methods, Part 3<\/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

        In this module, you’ll learn the final set of essential data manipulation methods, like agg, groupby, concat, merge, and pivot.<\/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\/02\/pandas-melt-laptop-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

        In these lessons, you’ll learn:<\/p>\n

          \n
        • How to aggregate your data<\/li>\n
        • How to group your data<\/li>\n
        • How to “concat” two dataframes together<\/li>\n
        • How to merge dataframes (i.e., how to join dataframes)<\/li>\n
        • How to transpose your data into new shapes<\/li>\n<\/ul>\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=”4.16″ text_font=”|300|||||||” text_font_size=”20px” min_height=”45px” custom_margin=”||4px|||” custom_padding=”||13px|||” global_colors_info=”{}”]<\/p>\n

          In Module 5, you’ll learn:<\/p>\n

          [\/et_pb_text][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

          Combining Pandas Methods<\/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 the essential Pandas tools in the previous modules, in Module 5, you’ll learn a special way to combine Pandas methods together.<\/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\/2020\/04\/pandas-chaining-explanation-video.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

          You’ll learn to “chain” methods together in order to perform complex, multi-step data manipulations easily.<\/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

          This is where everything starts to come together.<\/p>\n

          You’ll learn how to perform complex data manipulations in a way that’s simple, effective, and easy to perform.<\/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=”|300|||||||” text_font_size=”20px” min_height=”45px” custom_margin=”||4px|||” custom_padding=”||13px|||” locked=”off” global_colors_info=”{}”]<\/p>\n

          In Module 6, you’ll learn:<\/p>\n

          [\/et_pb_text][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 Cleaning
          and Dataset Preparation<\/p>\n

          [\/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

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          \nBONUS:
          Pandas Data Wrangling
          Cheat Sheet<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

          The course also comes with a handy Pandas “cheat sheet” that will enable you to quickly review the relevant techniques and syntax.<\/p>\n

          [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/10\/pandas-cheat-sheet-pdf.jpg” alt=”A Seaborn Cheat Sheet.” title_text=”pandas-cheat-sheet” 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_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=”4.22.2″ 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” 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:
          SQL Essentials<\/p>\n

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          Pandas is very useful, and even necessary for data wrangling 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 wrangling 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_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 could be very important to you, and alone, this bonus could be worth the price of the course.<\/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=”4.22.2″ 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” 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:
          Data Scraping Essentials<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

          If you want to practice your data wrangling skills, there’s no better way than cleaning up some raw data that you scrape from the internet.<\/p>\n

          So in this bonus, I’ll show you the essentials of data scraping in Python.<\/p>\n

          [\/et_pb_text][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/10\/python-data-scraping-essentials_COVER.png” alt=”An image of a video that shows a %22teardown%22 of a line chart.” title_text=”python-data-scraping-essentials_COVER” 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_text _builder_version=”4.22.2″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

          The skills you learn in this bonus will enable you to scrape data from pages on the internet, like Wikipedia pages, which will become an endless source of data for you to wrangle and analyze.<\/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=”4.22.2″ text_font=”Montserrat|700|||||||” text_font_size=”46px” 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” 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:
          Wikipedia Data Scraping
          and Cleaning Project<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

          This bonus module will show you an example of how to scrape some data from Wikipedia, and clean it up.<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

          You’ll see how to take a raw (and rather messy) dataset, and use the Pandas techniques that you learned to clean it up and put it into shape for visualization and analysis.<\/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 bonus will help you understand how everything fits together, and will give you ideas for how you can put your new data wrangling skills to use.<\/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=”4.22.1″ header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” header_2_line_height=”1.4em” header_2_font_size_tablet=”34px” header_2_font_size_phone=”26px” header_2_font_size_last_edited=”on|phone” locked=”off” global_colors_info=”{}”]<\/p>\n

          Memorize Pandas
          Data Wrangling Syntax<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” custom_margin=”||35px|||” global_colors_info=”{}”]<\/p>\n

          Pandas Mastery has been designed to help you memorize Python data wrangling 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, and 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 wrangling on a dataset …<\/p>\n

          They ask you to create a new variable, and then aggregate the data …<\/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\/2020\/02\/Pandas-Mastery_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 Pandas Mastery, you’ll discover a training system<\/strong> that will help you master all of the critical Pandas syntax you’ll need.<\/p>\n

          Our training system will enable you to memorize the syntax for cleaning, modifying, aggregating, and transposing your data.<\/p>\n

          By memorizing the essential syntax, you\u2019ll build the foundation for writing more complicated pieces of data wrangling code.<\/p>\n

          The simple syntax that you memorize will become the \u201cbuilding blocks\u201d for more complex data manipulation.<\/p>\n

          After a few weeks of practice, you’ll be able to write Pandas data manipulation code fluently<\/em>, rapidly<\/em>, and from memory<\/em>.<\/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=”4.22.1″ background_color=”rgba(0,130,145,0.9)” custom_padding=”|100px|40px|100px||” custom_padding_tablet=”” custom_padding_phone=”|20px||20px” 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=”4.16″ 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|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

          About Your Instructor<\/h2>\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=”4.22.1″ _module_preset=”default” 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 wrangling code.<\/p>\n

          I believe that data wrangling 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 wrangling 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=”4.16″ background_color=”#007fe0″ custom_padding=”|100px|40px|100px||” custom_padding_tablet=”” custom_padding_phone=”|20px||20px” 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|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

          Read What our Students are saying about\u00a0 our courses and training method<\/h2>\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 Pandas in a few weeks sounds too good to be true.<\/p>\n

          Mastering essential data wrangling in Pandas in a few weeks doesn’t seem possible …<\/p>\n

          But it IS possible.\u00a0<\/p>\n

          You can become “fluent” in Pandas and master data manipulation 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” 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=”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” 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=”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_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=”Bashar K.” portrait_url=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2023\/02\/bashar-k.jpeg” _builder_version=”4.22.2″ 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, 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=”4.22.2″ global_colors_info=”{}”]<\/p>\n

          \u201cAs an Operations Executive, I have applied a majority of course’s knowledge to improving my team’s workflows using Python and Pandas.<\/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=”4.16″ background_color=”#f4f4f4″ 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″ background_color=”#ffffff” custom_margin=”|auto|122px|auto||” 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=”4.16″ 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” 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 Pandas Mastery<\/strong>, you’ll get everything you need to rapidly master data manipulation in Python:<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

          \"\u2705\" Over 50 video lessons<\/p>\n

          \"\u2705\" Over 2000 lines of example code<\/p>\n

          \"\u2705\" Over 170 practice exercises<\/p>\n

          \"\u2705\" A system for practicing syntax (this works so well, you\u2019ll be writing code \u201cwith your eyes closed\u201d)<\/p>\n

          \"\u2705\" Lifetime access to course materials (access everyday, 24\/7, permanently)<\/p>\n

          \"\u2705\" Free access to all future updates to the Pandas Mastery course<\/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=”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=”|600|||||||” text_font_size=”45px” text_line_height=”1.2em” 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

          Pandas Mastery
          is right for you if answer YES<\/span> to
          any of these questions…<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.17.4″ text_font=”||||||||” text_font_size=”20px” custom_margin=”||35px|||” global_colors_info=”{}”]<\/p>\n

          \"\u2705\" Do you want to learn data manipulation in Python as fast as possible?<\/p>\n

          \"\u2705\" Do you want to learn Pandas?<\/p>\n

          \"\u2705\" Do you have a data science interview and need to show proficiency with Pandas?<\/p>\n

          \"\u2705\" Do you want to increase your skill in data manipulation?<\/p>\n

          \"\u2705\" Do you need to manipulate your data into shape?<\/p>\n

          \"\u2705\" Do you feel like you\u2019ve gotten as far as you can on your own?<\/p>\n

          \"\u2705\" Are you ready to invest in your skill set and accelerate your data science learning?<\/p>\n

          \"\u2705\" Do you want to learn the best ways to do data manipulation in Python?<\/p>\n

          \"\u2705\" Do you want to become a data scientist?<\/p>\n

          \"\u2705\" You want to be more productive with your data projects?<\/p>\n

          \"\u2705\" Do you want to learn the “foundation” for advanced data science topics?<\/p>\n

          \"\u2705\" Are you overwhelmed with data science material?<\/p>\n

          \"\u2705\" Have you taken other data science courses, but still feel \u201clost\u201d or \u201cstuck\u201d when you work on projects?<\/p>\n

          \"\u2705\" Do you want to use a proven system to help you master data wrangling?<\/p>\n

          \"\u2705\" Do you want a clear, step-by-step course that will help you master data manipulation in Python?<\/p>\n

          \"\u2705\"Do you want to understand the various nuances of data wrangling?<\/p>\n

          \"\u2705\" Do you sometimes forget critical Pandas Syntax?<\/p>\n

          \"\u2705\" Are you interested in memorizing the syntax for doing data manipulation in Python?<\/p>\n

          \"\u2705\" Do you sometimes have trouble “remembering all the code”?<\/p>\n

          \"\u2705\" Do you want to write Panas code “fluently” ?<\/p>\n

          \"\u2705\"Do ou struggle to find time to learn and practice?<\/p>\n

          \"\u2705\"Do you want a hyper-efficient learning system that will maximize your limited time?<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”|600|||||||” text_font_size=”28px” text_line_height=”1.5em” custom_margin=”||51px|||” custom_padding=”50px|40px||35px||” 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 Pandas 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

          Pandas Mastery is a step-by-step system that will enable you to rapidly master manipulation in Python …<\/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 Pandas Mastery can help you master data wrangling in Python within weeks<\/span>.<\/em>
          <\/em><\/span><\/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|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

          Frequently Asked Questions<\/h2>\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=”4.22.2″ 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

          Yeah, you’ll need to know at least some of the basics.<\/p>\n

          For example, you’ll need to have a solid understanding of Python data types like lists, dictionaries, and strings.<\/p>\n

          You’ll also need to understand a little about if\/else statements, conditional statements, comparisons operations, and boolean logic.<\/p>\n

          As long as you know most of the essentials of “base Python”, Pandas Mastery will teach you everything you need to know about Pandas.<\/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

          Pandas 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. <\/p>\n

          The course is very flexible, in the sense that you can review the material when you want, once a module opens up. Moreover, you can study wherever you want: your home office, your couch, or anywhere is convenient for you.<\/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. 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.<\/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 or data manipulation with R, you should enroll in one of our R-based courses.<\/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

          \nThis course is a great first step.<\/p>\n

          Roughly 80% of data science work is data manipulation. <\/p>\n

          Obviously then, if you want to be a great data scientist, you really need to know data manipulation.<\/p>\n

          This course will help you learn and master the essential skills of data manipulation in Python with the Pandas package.<\/p>\n

          [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cWill this prepare me to learn machine learning later on?\u201d” _builder_version=”4.16″ global_colors_info=”{}” open=”off”]<\/p>\n

          Yes.<\/p>\n

          Although Pandas Mastery does not teach machine learning, it has been specifically structured to prepare you to learn machine learning in the future. <\/p>\n

          Pandas Mastery teaches you the necessary foundations of data manipulation. Data manipulation and data cleaning are very important for building machine learning models, so this course will give you the skills that you\u2019ll need to build machine learning models later on.<\/p>\n

          [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cDo I need to know calculus or advanced math?\u201d” _builder_version=”4.16″ global_colors_info=”{}” open=”off”]<\/p>\n

          No.<\/p>\n

          Pandas Mastery avoids math topics completely. <\/p>\n

          A lot of data science \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

          Instead, most people who work in the data industry use data wrangling techniques almost every day. <\/p>\n

          If you want to be a great data scientist, you need to know and master data manipulation. This course will teach you that skill set.<\/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

          Every week, a new module will open. Most modules have 3 to 5 lessons, and each lesson has 1 or two videos. <\/p>\n

          You should be able to watch all of the videos in a module in 60 to 90 minutes.<\/p>\n

          Most of the modules also have practice exercises. We recommend that you practice with these practice exercises every day for 15 to 20 minutes.<\/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 study and practice like we show you, you should be able to master Pandas techniques within 4 to 6 weeks. <\/p>\n

          (If you have less time to put in, it may take longer to get results.<\/p>\n

          In any case, between the videos and practice exercises, you should expect the course to take a couple of hours per week.<\/p>\n

          [\/et_pb_accordion_item][et_pb_accordion_item title=”\u201cWhy are there monthly payments?\u201d” _builder_version=”4.22.2″ 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 cashflow friendly to people.<\/p>\n

          If you choose to pay in installments, you will make an installment payment every month for 12 months. By selecting this payment plan, you are committing to 12 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 6 modules, and each module has several lessons and exercises.<\/p>\n

          When you join, you\u2019ll get access to an introductory “setup” module, and you’ll get access to the first content module soon after. After that, new modules open every week. You\u2019ll see all of the material within about 6 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. If you continue to practice, 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=”#6c2be9″ 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
          risk-free for 30 days<\/p>\n

          [\/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 data manipulation in Python 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=”4.16″ custom_padding=”7px|50px|49.75px|50px|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″ locked=”off” 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=”|600|||||||” text_font_size=”44px” text_line_height=”1.2em” text_orientation=”center” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”]<\/p>\n

          Yes! I want lifetime access
          to Pandas Mastery!<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” text_orientation=”center” custom_margin=”15px||||false|false” locked=”off” 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” locked=”off” 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_font_size=”21px” 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=”4.16″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.1em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n

          One Time<\/h2>\n

          Payment<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”21px” 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 Pandas 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=”4.20.2″ 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” global_colors_info=”{}”]<\/p>\n

          $247<\/h2>\n

          [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5288376″ 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=”#ed9f40″ button_border_width=”0px” button_border_color=”#d6d6d6″ 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=”25px” button_text_size_last_edited=”on|desktop” global_colors_info=”{}” button_text_size__hover_enabled=”on|hover” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f4a811″ 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_bg_enable_color__hover=”on” button_text_size__hover=”41px” custom_padding__hover=”|||”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”16px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”||35px||false|false” global_colors_info=”{}”]<\/p>\n

          You\u2019ll save an extra $38<\/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_font_size=”21px” 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=”4.16″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.1em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n

          Monthly<\/h2>\n

          Installments<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”21px” 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 Pandas Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ 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=”4.22.2″ 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

          $57<\/h2>\n

          [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5288381″ 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=”#ed9f40″ button_border_width=”0px” button_border_color=”#d6d6d6″ 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=”25px” button_text_size_last_edited=”on|desktop” global_colors_info=”{}” button_text_size__hover_enabled=”on|hover” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f4a811″ 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_bg_enable_color__hover=”on” button_text_size__hover=”41px” custom_padding__hover=”|||”][\/et_pb_button][et_pb_text _builder_version=”4.16″ text_font_size=”16px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”|12px|35px|12px|false|true” global_colors_info=”{}”]<\/p>\n

          This option is designed to keep this training<\/p>\n

          cashflow-friendly. When you enroll in the 5 month<\/p>\n

          payment plan, you agree to make all payments.<\/p>\n

          [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_margin=”5px|auto||auto|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/visa-mastercard-amex.png” title_text=”visa-mastercard-amex” _builder_version=”4.16″ _module_preset=”default” width=”20%” module_alignment=”center” 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=”7px|75px|49.75px|75px|false|true” 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=”30px|50px|52px|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

          Master the “most important”
          \ndata science skill<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

          Data manipulation is a huge part of data science.<\/p>\n

          On any given project, somewhere around 80% of your work will be data wrangling …<\/p>\n

          … getting data<\/p>\n

          … cleaning data<\/p>\n

          … reshaping data<\/p>\n

          … aggregating data<\/p>\n

          The rumors you hear really are true: data manipulation is typically the majority of any data science project.<\/p>\n

          If that’s the case, doesn’t it make sense to spend a disproportionate amount of time learning data manipulation?<\/p>\n

          Doesn’t it make a lot<\/em> of sense to master the skill that makes up 80% of the work?<\/p>\n

          Doesn’t it make sense that mastering data wrangling will yield a huge “return on investment?<\/p>\n

          Of course.<\/p>\n

          If you really want to learn data science, the first skill you must master is data manipulation.<\/p>\n

          Everything else …<\/p>\n

          … data analysis, data visualization, machine learning …<\/p>\n

          … it all depends on data manipulation.<\/p>\n

          So before you learn more advanced skills, you should focus on data manipulation.<\/p>\n

          If you’re ready to take data science seriously, enroll today and learn to wrangle your data like a professional.<\/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=”7px|50px|49.75px|50px|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″ locked=”off” 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=”|600|||||||” text_font_size=”44px” text_line_height=”1.2em” text_orientation=”center” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”]<\/p>\n

          Yes! I want lifetime access
          to Pandas Mastery!<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” text_orientation=”center” custom_margin=”15px||||false|false” locked=”off” 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” locked=”off” 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_font_size=”21px” 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=”4.16″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.1em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n

          One Time<\/h2>\n

          Payment<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”21px” 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 Pandas 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=”4.20.2″ 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” global_colors_info=”{}”]<\/p>\n

          $247<\/h2>\n

          [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5288376″ 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=”#ed9f40″ button_border_width=”0px” button_border_color=”#d6d6d6″ 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=”25px” button_text_size_last_edited=”on|desktop” global_colors_info=”{}” button_text_size__hover_enabled=”on|hover” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f4a811″ 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_bg_enable_color__hover=”on” button_text_size__hover=”41px” custom_padding__hover=”|||”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”16px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”||35px||false|false” global_colors_info=”{}”]<\/p>\n

          You\u2019ll save an extra $38<\/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_font_size=”21px” 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=”4.16″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.1em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n

          Monthly<\/h2>\n

          Installments<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”21px” 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 Pandas Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ 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=”4.22.2″ 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

          $57<\/h2>\n

          [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5288381″ 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=”#ed9f40″ button_border_width=”0px” button_border_color=”#d6d6d6″ 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=”25px” button_text_size_last_edited=”on|desktop” global_colors_info=”{}” button_text_size__hover_enabled=”on|hover” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f4a811″ 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_bg_enable_color__hover=”on” button_text_size__hover=”41px” custom_padding__hover=”|||”][\/et_pb_button][et_pb_text _builder_version=”4.16″ text_font_size=”16px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”|12px|35px|12px|false|true” global_colors_info=”{}”]<\/p>\n

          This option is designed to keep this training<\/p>\n

          cashflow-friendly. When you enroll in the 5 month<\/p>\n

          payment plan, you agree to make all payments.<\/p>\n

          [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_margin=”5px|auto||auto|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/visa-mastercard-amex.png” title_text=”visa-mastercard-amex” _builder_version=”4.16″ _module_preset=”default” width=”20%” module_alignment=”center” 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=”7px|75px|49.75px|75px|false|true” 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=”30px|50px|52px|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

          Get the most efficient way
          to learn Pandas<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.16″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

          I’m sure you’re busy and crunched for time.<\/p>\n

          I am too …<\/p>\n

          That’s exactly why I designed Pandas Mastery to be the most time efficient way to learn and master Pandas.<\/p>\n

          It’s designed to help you master data manipulation as fast as possible … in the smallest amount of time.<\/p>\n

          To be clear: I’m not talking about taking shortcuts.\u00a0 Shortcuts are for lazy people who don’t want to put in any effort.<\/p>\n

          I’m talking about efficiency.<\/em><\/p>\n

          Everything about Pandas Mastery is designed to be maximally efficient.<\/p>\n

          … focusing on the most important tools<\/p>\n

          … the structure of the course<\/p>\n

          … the lessons (you can even play the videos at 2x speed)<\/p>\n

          … the practice exercises (which will help you memorize the syntax in only a few weeks)<\/p>\n

          Everything about Pandas Mastery is designed to be as time efficient as possible.<\/p>\n

          If you can put in only 20 or 30 minutes a day …<\/p>\n

          … and if you practice exactly like we show you<\/p>\n

          Then you’ll be wrangling your data like a pro in only a few weeks.<\/p>\n

          If you’re ready to learn Pandas and if you’re ready to stop wasting time, then enroll 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=”4.16″ custom_padding=”7px|50px|49.75px|50px|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″ locked=”off” 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=”|600|||||||” text_font_size=”44px” text_line_height=”1.2em” text_orientation=”center” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”]<\/p>\n

          Yes! I want lifetime access
          to Pandas Mastery!<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” text_orientation=”center” custom_margin=”15px||||false|false” locked=”off” 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” locked=”off” 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_font_size=”21px” 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=”4.16″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.1em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n

          One Time<\/h2>\n

          Payment<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”21px” 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 Pandas 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=”4.20.2″ 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” global_colors_info=”{}”]<\/p>\n

          $247<\/h2>\n

          [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5288376″ 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=”#ed9f40″ button_border_width=”0px” button_border_color=”#d6d6d6″ 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=”25px” button_text_size_last_edited=”on|desktop” global_colors_info=”{}” button_text_size__hover_enabled=”on|hover” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f4a811″ 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_bg_enable_color__hover=”on” button_text_size__hover=”41px” custom_padding__hover=”|||”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”16px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”||35px||false|false” global_colors_info=”{}”]<\/p>\n

          You\u2019ll save an extra $38<\/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_font_size=”21px” 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=”4.16″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.1em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n

          Monthly<\/h2>\n

          Installments<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”21px” 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 Pandas Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ 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=”4.22.2″ 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

          $57<\/h2>\n

          [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5288381″ 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=”#ed9f40″ button_border_width=”0px” button_border_color=”#d6d6d6″ 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=”25px” button_text_size_last_edited=”on|desktop” global_colors_info=”{}” button_text_size__hover_enabled=”on|hover” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f4a811″ 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_bg_enable_color__hover=”on” button_text_size__hover=”41px” custom_padding__hover=”|||”][\/et_pb_button][et_pb_text _builder_version=”4.16″ text_font_size=”16px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”|12px|35px|12px|false|true” global_colors_info=”{}”]<\/p>\n

          This option is designed to keep this training<\/p>\n

          cashflow-friendly. When you enroll in the 5 month<\/p>\n

          payment plan, you agree to make all payments.<\/p>\n

          [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_margin=”5px|auto||auto|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/visa-mastercard-amex.png” title_text=”visa-mastercard-amex” _builder_version=”4.16″ _module_preset=”default” width=”20%” module_alignment=”center” 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=”4.16″ custom_padding=”30px|50px|52px|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=”4.17.4″ header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” header_2_line_height=”1.2em” 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

          Discover One of the Secrets
          \nto Data Analysis with Python<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.17.4″ text_font=”||||||||” text_font_size=”20px” global_colors_info=”{}”]<\/p>\n

          If you’ve ever struggled with data analysis in Python, then you need to enroll in Pandas Mastery.<\/p>\n

          Why?<\/p>\n

          Data wrangling is one of the secrets of data analysis.<\/p>\n

          (The other one is data visualization.)<\/p>\n

          Data analysis often requires you to subset …<\/p>\n

          … reshape<\/p>\n

          … group<\/p>\n

          … and summarize your data.<\/p>\n

          Along with many other subtle data manipulations.<\/p>\n

          The truth is, a huge part of data analysis is simply subsetting, aggregating, and reshaping your data.<\/p>\n

          Guess what package you need to learn if you want to subset, aggregate, and reshape your data?<\/p>\n

          Pandas.<\/p>\n

          The truth is, if you struggle with data analysis, then you almost certainly need to learn more data wrangling.<\/p>\n

          And to learn data wrangling in Python, you need to master Pandas.<\/p>\n

          So if you want to give yourself a solid foundation for data analysis and more advanced data science topics, then enroll in Pandas Mastery today.<\/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=”7px|50px|49.75px|50px|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″ locked=”off” 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=”|600|||||||” text_font_size=”44px” text_line_height=”1.2em” text_orientation=”center” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”]<\/p>\n

          Yes! I want lifetime access
          to Pandas Mastery!<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” text_orientation=”center” custom_margin=”15px||||false|false” locked=”off” 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” locked=”off” 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_font_size=”21px” 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=”4.16″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.1em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n

          One Time<\/h2>\n

          Payment<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”21px” 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 Pandas 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=”4.20.2″ 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” global_colors_info=”{}”]<\/p>\n

          $247<\/h2>\n

          [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5288376″ 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=”#ed9f40″ button_border_width=”0px” button_border_color=”#d6d6d6″ 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=”25px” button_text_size_last_edited=”on|desktop” global_colors_info=”{}” button_text_size__hover_enabled=”on|hover” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f4a811″ 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_bg_enable_color__hover=”on” button_text_size__hover=”41px” custom_padding__hover=”|||”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”16px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”||35px||false|false” global_colors_info=”{}”]<\/p>\n

          You\u2019ll save an extra $38<\/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_font_size=”21px” 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=”4.16″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.1em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n

          Monthly<\/h2>\n

          Installments<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”21px” 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 Pandas Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ 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=”4.22.2″ 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

          $57<\/h2>\n

          [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5288381″ 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=”#ed9f40″ button_border_width=”0px” button_border_color=”#d6d6d6″ 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=”25px” button_text_size_last_edited=”on|desktop” global_colors_info=”{}” button_text_size__hover_enabled=”on|hover” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f4a811″ 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_bg_enable_color__hover=”on” button_text_size__hover=”41px” custom_padding__hover=”|||”][\/et_pb_button][et_pb_text _builder_version=”4.16″ text_font_size=”16px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”|12px|35px|12px|false|true” global_colors_info=”{}”]<\/p>\n

          This option is designed to keep this training<\/p>\n

          cashflow-friendly. When you enroll in the 5 month<\/p>\n

          payment plan, you agree to make all payments.<\/p>\n

          [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_margin=”5px|auto||auto|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/visa-mastercard-amex.png” title_text=”visa-mastercard-amex” _builder_version=”4.16″ _module_preset=”default” width=”20%” module_alignment=”center” 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=”4.16″ custom_padding=”30px|50px|52px|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=”4.17.4″ header_font=”||||||||” header_font_size=”24px” header_2_font=”||||||||” header_2_text_align=”center” header_2_font_size=”46px” header_2_line_height=”1.2em” 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

          You could save yourself
          years<\/em><\/span> of time<\/h2>\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

          Pandas 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 manipulation in Python as fast as possible, 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 Pandas data manipulation 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=”4.16″ custom_padding=”7px|50px|49.75px|50px|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″ locked=”off” 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=”|600|||||||” text_font_size=”44px” text_line_height=”1.2em” text_orientation=”center” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” global_colors_info=”{}”]<\/p>\n

          Yes! I want lifetime access
          to Pandas Mastery!<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” text_orientation=”center” custom_margin=”15px||||false|false” locked=”off” 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” locked=”off” 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_font_size=”21px” 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=”4.16″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.1em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n

          One Time<\/h2>\n

          Payment<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”21px” 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 Pandas 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=”4.20.2″ 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” global_colors_info=”{}”]<\/p>\n

          $247<\/h2>\n

          [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5288376″ 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=”#ed9f40″ button_border_width=”0px” button_border_color=”#d6d6d6″ 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=”25px” button_text_size_last_edited=”on|desktop” global_colors_info=”{}” button_text_size__hover_enabled=”on|hover” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f4a811″ 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_bg_enable_color__hover=”on” button_text_size__hover=”41px” custom_padding__hover=”|||”][\/et_pb_button][et_pb_text _builder_version=”4.22.2″ text_font_size=”16px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”||35px||false|false” global_colors_info=”{}”]<\/p>\n

          You\u2019ll save an extra $38<\/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_font_size=”21px” 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=”4.16″ header_2_font=”|600|||||||” header_2_text_align=”center” header_2_font_size=”44px” header_2_line_height=”1.1em” custom_margin=”0px||10px||false|false” custom_padding=”0px||0px||true|false” global_colors_info=”{}”]<\/p>\n

          Monthly<\/h2>\n

          Installments<\/h2>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ text_font_size=”21px” 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 Pandas Mastery course, including videos, code, practice exercises, and all future updates.<\/p>\n

          [\/et_pb_text][et_pb_text _builder_version=”4.22.2″ 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=”4.22.2″ 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

          $57<\/h2>\n

          [\/et_pb_text][et_pb_button button_url=”https:\/\/sharpsight.teachable.com\/purchase?product_id=5288381″ 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=”#ed9f40″ button_border_width=”0px” button_border_color=”#d6d6d6″ 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=”25px” button_text_size_last_edited=”on|desktop” global_colors_info=”{}” button_text_size__hover_enabled=”on|hover” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#f4a811″ 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_bg_enable_color__hover=”on” button_text_size__hover=”41px” custom_padding__hover=”|||”][\/et_pb_button][et_pb_text _builder_version=”4.16″ text_font_size=”16px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”|12px|35px|12px|false|true” global_colors_info=”{}”]<\/p>\n

          This option is designed to keep this training<\/p>\n

          cashflow-friendly. When you enroll in the 5 month<\/p>\n

          payment plan, you agree to make all payments.<\/p>\n

          [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” custom_margin=”5px|auto||auto|false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.sharpsightlabs.com\/wp-content\/uploads\/2019\/03\/visa-mastercard-amex.png” title_text=”visa-mastercard-amex” _builder_version=”4.16″ _module_preset=”default” width=”20%” module_alignment=”center” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ custom_padding=”8px|0px|0|0px|false|false” global_colors_info=”{}”][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_text _builder_version=”4.19.4″ text_font=”||||||||” link_font=”||||||||” link_text_color=”#999999″ text_orientation=”center” custom_margin=”50px||||false” global_colors_info=”{}”]<\/p>\n

          terms and conditions<\/a>
          results disclaimer<\/a><\/p>\n

          Copyright 2024 \u2013 Sharp Sight, Inc. \u2013 All Rights Reserved<\/p>\n

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