Master Python Data Manipulation
in as Little as 10 Minutes per Day

Discover the fastest, most efficient way to master data manipulation in Python with Pandas

• Master data manipulation with Pandas
• Memorize Pandas syntax in weeks
• Become “fluent” in writing Pandas code
• Even if you have limited time …


Hi. I’m Josh Ebner, the founder of Sharp Sight, and a former data scientist at Apple.

I’m sure that you know that data science is extremely valuable.

Right now, the average pay for a data scientist is almost $150,000.

An image that shows the average salary for a data scientist, and the pay range.

That’s about $50K more than an engineer or software developer.

And about $75K more than a traditional data analyst.

You could make a lot more money by transitioning to a data science job.

BUT, getting one of those data science jobs will be challenging.

Because you’ll need the right skills.

And one of the most important skills is data wrangling.

If you’re doing data science work, you’re going to need to use data wrangling for almost every part of your workflow.

In fact, by some estimates, data wrangling is up to 80% of all data science work. 

80% of data science
is data preparation

It sounds like a lot, but honestly, it’s true.

A massive amount of your data science work will just be data manipulation.

… retrieving data

… cleaning data

… combining data

… and reshaping data

If you want to be great at data science …

And if you want to make more money with data skills …

Then you need to master data wrangling.

But …
data wrangling is hard

Even though data wrangling is very important …

It’s also hard for most people to learn.

First, it’s complicated. 

Most people get confused about exactly what to dow when they have a messy, “raw” dataset.

It’s hard to know exactly what steps to take to clean your data, and what order to do things in.  

It often feels like you don’t even know where to start, and it’s easy to get stuck if your data is really messy.

Second, it’s hard just to find time.

You’re busy, right?

Job, friends, hobbies …

It’s really hard to find enough time.

And third, you forget syntax.

Have you ever had to go to Google to look something up?

I bet you have.

I have too.

I’ve been there.

But that will be a huge problem if you ever want to get a data science job (bro, they’re going to test you in your interview).

Ultimately, you need to know the syntax both to get a great job, to do great work, and to get paid big money.

But here’s a secret …

It’s possible to master Python data wrangling in a few weeks, with as little as 10 minutes per day, if you have a hyper-efficient, step-by-step system to learn it.

I have some good news for you though.

Learning data wrangling in Python really doesn’t need to be so hard.

After struggling to master this skill for a long time, I decided to create a fast, efficient, and effective way to learn Pandas.

So studied everything I could find about learning faster and more efficiently.

I read books about memory and cognitive neuroscience.

I read books about how “polyglots” learn languages.

I read books by elite athletes and Navy Seals, to find out how they practice and train.

Eventually, I began noticing patterns.

And I finally “cracked the code” on learning data science.

It has changed everything for me and my students.

What if You Could Master Data Wrangling in Python in Only A Few Weeks, in As Little As 10 Minutes Per Day?

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.

This system is hyper-efficient …

So it’s perfect if you have limited time.

And importantly, it will help you memorize all of the Pandas syntax that you learn.

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.

Here’s how …

Introducing …

Pandas Mastery

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


Learn the essential tools of data manipulation in Python

Pandas Mastery simplifies data manipulation by focussing on the most important, most frequently used tools.

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

The 80/20 rule applies to data manipulation too …

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 majority of data manipulation work.

Pandas Mastery will tell you exactly what those techniques are … the techniques that you absolutely need to know.

It breaks them down, piece by piece, so you can understand them …

And it gives you a practice system so you can memorize the syntax for these “most important” functions.

This course will enable you to master all of the essential techniques that you need to know for getting data, cleaning data, reshaping data, and aggregating data.

When you join Pandas Mastery, you’ll master all of the essential techniques of data manipulation in Python, using the Pandas package.


Memorize Pandas Syntax

One of the secrets of the course is showing you how to memorize Pandas syntax..

If you’ve ever forgotten Python code, this is the solution you’ve been looking for.

Pandas Mastery will teach you all of the critical Pandas syntax that you need to know …

But it will also show you a unique practice system that will enable you to memorize all of that Pandas syntax.

Looking up Pandas syntax on Google will become a thing of the past.

This will save you lots valuable time, because you’ll avoid re-learning things.

If you practice like we show you, you’ll learn all of the Pandas data manipulation syntax, and you’ll remember it forever.


Discover how to “put the pieces together”

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.

In Pandas Mastery, you’ll discover how to combine individual Pandas methods together into “chains” of Pandas code

(If you’ve ever used “pipes” in R’s dplyr, this is very similar !)

Learning this method of chaining together Pandas tools is absolutely essential for mastering data manipulation in Python.

We’ll show you how to do this so you can perform complex data manipulations with ease.


Master Pandas as Efficiently as possible

If you’re busy and struggle to find time, this course will help you maximize your limited time.

Pandas Mastery is designed to be hyper-efficient.

It breaks everything down into small, easy-to-understand units.

It gives you an efficient system to practice what you learn. So you can memorize everything in as little as 10 minutes per day.

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.

I designed this course to be the fastest, clearest, most efficient way for you to master Pandas.

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.

“Learning this way is almost addictive!”

– Victor O., Sharp Sight student

In Pandas Mastery, you’ll learn essential data manipulation skills, systematically

Pandas Mastery will teach you the essential skills of data manipulation using the Pandas package.

But the course is highly structured.

You’ll learn Pandas tools in a way that’s efficient, effective, and fast.

To do this, the course is divided up into several different modules:

In Module 1, you’ll learn:

Pandas Basics

In module 1, you’ll learn the essential foundations of data manipulation with Pandas.

Specifically, you’ll learn:

  • What dataframes are
  • The basics of dataframe indexes
  • How to create dataframes from raw data
  • How to create dataframes from csv files
  • How to use the loc and iloc methods to subset data

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.

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.

In Module 2, you’ll learn:

Data Manipulation Methods, Part 1

After learning about Pandas basics, you’ll start to learn about some of the essential data manipulation methods of Pandas.

These data manipulation methods are the essential toolkit of Pandas that enable you to “wrangle” your data into shape.

In the Data Manipulation Methods, Part 1 module, you’ll learn:

  • How to set the index of a dataframe
  • How to reset the index of a dataframe
  • How to delete variables from a dataframe
  • How to drop missing values from a dataframe
  • How to fill in missing values

Again, everything will be explained in a clear, straightforward manner that makes it easy for you to understand.

And you’ll get practice exercises that will help you systematically practice, memorize, and master all of these data manipulation tools.

In Module 3, you’ll learn:

Data Manipulation Methods, Part 2

In the Data Manipulation Methods, Part 2 module, you’ll learn more essential data manipulation tools.


Specifically, you’ll learn:

  • How to add variables to a dataframe
  • How to retrieve specific columns from a dataframe
  • How to retrieve specific rows from a dataframe (based on logical conditions)
  • How to rename variables
  • How to sort the values in a dataframe

In Module 4, you’ll learn:

Data Manipulation Methods, Part 3

In this module, you’ll learn the final set of essential data manipulation methods, like agg, groupby, concat, merge, and pivot.

In these lessons, you’ll learn:

  • How to aggregate your data
  • How to group your data
  • How to “concat” two dataframes together
  • How to merge dataframes (i.e., how to join dataframes)
  • How to transpose your data into new shapes

In Module 5, you’ll learn:

Combining Pandas Methods

After learning the essential Pandas tools in the previous modules, in Module 5, you’ll learn a special way to combine Pandas methods together.

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

This is where everything starts to come together.

You’ll learn how to perform complex data manipulations in a way that’s simple, effective, and easy to perform.

In Module 6, you’ll learn:

Data Cleaning
and Dataset Preparation

After you learn how to combine syntax, you’ll learn the process for data cleaning and dataset preparation.

An image that shows a laptop, playing a video that shows the process for preparing data in R.

In Python Data Mastery, you’ll learn a step-by-step process for getting, cleaning, and reshaping your data.

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.

An image of code, showing how to merge multiple datasets into a single file.

If you’re struggling with cleaning your data, then these lessons can show you exactly what to do, and how to do it.

Pandas Data Wrangling
Cheat Sheet

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

A Seaborn Cheat Sheet.

SQL Essentials

Pandas is very useful, and even necessary for data wrangling in Python.

But as a data scientist, SQL is also very important for retrieving data from databases (particularly in large corporate environments).

This bonus will show you the essentials of SQL, as a compliment to your Python data wrangling skills.

An image of a video that shows a "teardown" of a line chart.

When I worked at Apple and Bank of America, SQL was a big part of the job.

So this bonus could be very important to you, and alone, this bonus could be worth the price of the course.

Data Scraping Essentials

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.

So in this bonus, I’ll show you the essentials of data scraping in Python.

An image of a video that shows a "teardown" of a line chart.

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.

Wikipedia Data Scraping
and Cleaning Project

This bonus module will show you an example of how to scrape some data from Wikipedia, and clean it up.

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.

An image showing Python code, that is cleaning data for a modestly sized Python data science project concerning president ranking data on Wikipedia.

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.

Memorize Pandas
Data Wrangling Syntax

Pandas Mastery has been designed to help you memorize Python data wrangling syntax.

Like it or not, you need to know Pandas syntax.

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.

So imagine…

You’re in your data science coding interview, and they ask you to do some data wrangling on a dataset …

They ask you to create a new variable, and then aggregate the data …

You smile briefly, and then effortlessly type the code ….

Imagine how satisfying it will be to ace your coding interview …

How exciting it will be to get the job offer …

How great it would be to make thousands more than you’re already making.

It’s all possible.

When you join Pandas Mastery, you’ll discover a training system that will help you master all of the critical Pandas syntax you’ll need.

Our training system will enable you to memorize the syntax for cleaning, modifying, aggregating, and transposing your data.

By memorizing the essential syntax, you’ll build the foundation for writing more complicated pieces of data wrangling code.

The simple syntax that you memorize will become the “building blocks” for more complex data manipulation.

After a few weeks of practice, you’ll be able to write Pandas data manipulation code fluently, rapidly, and from memory.


“Your practice method is simply effective beyond words”

– Joshua F., Sharp Sight student

About Your Instructor


Hi. I’m Josh Ebner, the founder of Sharp Sight, and a former data scientist at Apple.

I’ve been doing data science and analytics since 2004 (literally since before we called it data science).

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.

Over the course of my career, I’ve written 10s of thousands of lines of data wrangling code.

I believe that data wrangling can be simple and easy, IF you know what you’re doing.

And to know what you’re doing, you need great mentorship.

Therefore, I designed this to teach you what I know, in clear, simple language.

I want to turn you into a skilled data wrangling pro, as quickly and efficiently as possible, using our step-by-step training system.

“I have been practicing almost every day and it really helped me memorize all the syntax.”

– Corey H., Sharp Sight student

Read What our Students are saying about  our courses and training method

 I get it …

You’re probably skeptical.

Becoming “fluent” in Pandas in a few weeks sounds too good to be true.

Mastering essential data wrangling in Pandas in a few weeks doesn’t seem possible …

But it IS possible. 

You can become “fluent” in Pandas and master data manipulation skills in only a few weeks.

Our past students have had amazing results.

Here’s what our past students have had to say about our courses and training methodology:


“I enrolled in your data science program this past year …. It’s amazing!

Having taught for 20 years, you have one of best approaches I’ve seen to teaching.”

Edwin W.


“I want to say thank you for the quality of the course.

The concepts are combined very well with this course. It’s great.”

Vasily M.

“The course is amazing.”

Alexandre F.

“You deliver excellent information, parsed into just the right units, and provide an awesome way to practice and internalize the material.

… the course is delivering on all the promises, and it’s improving my understanding of everything.”

Sharon P.

“Being able to write down key code snippets without looking up anywhere else is so useful.”

Paolo C.

“The course is very good.”

Ganapathy G.

“I’m really enjoying the lectures, coding walkthroughs, and practice.

They’ve been tremendously helpful and I can really see my fluency developing.”

Joshua F.

“I have been practicing almost every day and find that it really helped me memorize all the syntax.”

Corey H.

“I feel much more comfortable and proficient after going through the videos and practicing.”

Michael G.

“Been practicing every day for the last 10 days. Plan on keeping it as a habit for life.

…. It has been phenomenal in helping learn Python!”

Toby P.

“The course helped me to memorize and automate my skills.”


Dmitriy T.

“Your DSSR method is simply effective beyond words.”

Joshua F.

“In a little over a week since I’ve started, I can see an immense difference in how ‘fluid’ I’ve become.

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! ”

Bashar K.

“As an Operations Executive, I have applied a majority of course’s knowledge to improving my team’s workflows using Python and Pandas.

And more importantly, you will love Data Science going through this course



Khang G.

When you join Pandas Mastery, you’ll get everything you need to rapidly master data manipulation in Python:

✅ Over 50 video lessons

✅ Over 2000 lines of example code

✅ Over 170 practice exercises

✅ A system for practicing syntax (this works so well, you’ll be writing code “with your eyes closed”)

✅ Lifetime access to course materials (access everyday, 24/7, permanently)

✅ Free access to all future updates to the Pandas Mastery course

Pandas Mastery
is right for you if answer YES to
any of these questions…

✅ Do you want to learn data manipulation in Python as fast as possible?

✅ Do you want to learn Pandas?

✅ Do you have a data science interview and need to show proficiency with Pandas?

✅ Do you want to increase your skill in data manipulation?

✅ Do you need to manipulate your data into shape?

✅ Do you feel like you’ve gotten as far as you can on your own?

✅ Are you ready to invest in your skill set and accelerate your data science learning?

✅ Do you want to learn the best ways to do data manipulation in Python?

✅ Do you want to become a data scientist?

✅ You want to be more productive with your data projects?

✅ Do you want to learn the “foundation” for advanced data science topics?

✅ Are you overwhelmed with data science material?

✅ Have you taken other data science courses, but still feel “lost” or “stuck” when you work on projects?

✅ Do you want to use a proven system to help you master data wrangling?

✅ Do you want a clear, step-by-step course that will help you master data manipulation in Python?

✅Do you want to understand the various nuances of data wrangling?

✅ Do you sometimes forget critical Pandas Syntax?

✅ Are you interested in memorizing the syntax for doing data manipulation in Python?

✅ Do you sometimes have trouble “remembering all the code”?

✅ Do you want to write Panas code “fluently” ?

✅Do ou struggle to find time to learn and practice?

✅Do you want a hyper-efficient learning system that will maximize your limited time?

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.


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.

If you’re out of cash and definitely can’t afford the course, don’t join.

Pandas Mastery is a step-by-step system that will enable you to rapidly master manipulation in Python …

IF you do the work.

You must be willing to put in some effort in order to get the results.

If you’re willing to do that, then Pandas Mastery can help you master data wrangling in Python within weeks.

Frequently Asked Questions

Do I need to know Python?

Yeah, you’ll need to know at least some of the basics.

For example, you’ll need to have a solid understanding of Python data types like lists, dictionaries, and strings.

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

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

How does the course work?

Pandas Mastery is an online video course.

After purchasing the course, you’ll get access to a member area, where you will find video lectures, code, practice exercises.

New lessons will be released over several weeks and you can review the material at your own pace.

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.

“Is this course live?”

This is not a live course.

This is an online video course. You will have access to the course 24 hours a day by logging into the member area.

This makes the course very flexible … you can watch the videos and practice whenever is convenient for you.

“What if I live in India, or China, or Europe?”

You can take this course from anywhere in the world. This course is 100% online, so you can take it from anywhere.

“How long do I have access?”

This is an online course, so you have 24/7 access.

You’ll also have permanent access, so you can return to the material as often as you like (even next year).

"Can I use a different programming language?"


This course only uses the Python programming language. There are other good data science programming languages (like R), but this course exclusively uses Python.

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.

“If I want to become a data scientist, would this be a first step?”

This course is a great first step.

Roughly 80% of data science work is data manipulation.

Obviously then, if you want to be a great data scientist, you really need to know data manipulation.

This course will help you learn and master the essential skills of data manipulation in Python with the Pandas package.

“Will this prepare me to learn machine learning later on?”


Although Pandas Mastery does not teach machine learning, it has been specifically structured to prepare you to learn machine learning in the future.

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’ll need to build machine learning models later on.

“Do I need to know calculus or advanced math?”


Pandas Mastery avoids math topics completely.

A lot of data science “advice” will tell you that you need to know advanced math to learn data science. This is a huge myth.

Most working data scientists (working in business and industry) do not use math on a daily basis.

Instead, most people who work in the data industry use data wrangling techniques almost every day.

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.

So, don’t worry if you don’t know calculus or linear algebra. You won’t need it.

“How much work do I need to put in to the course?”

A couple hours per week.

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

You should be able to watch all of the videos in a module in 60 to 90 minutes.

Most of the modules also have practice exercises. We recommend that you practice with these practice exercises every day for 15 to 20 minutes.

You can adjust your practice level as needed, so if you only have 10 minutes a day, you can do that.

If you study and practice like we show you, you should be able to master Pandas techniques within 4 to 6 weeks.

(If you have less time to put in, it may take longer to get results.

In any case, between the videos and practice exercises, you should expect the course to take a couple of hours per week.

“Why are there monthly payments?”

There are two payment options: you can pay in full with a one-time payment OR you can pay in monthly installments.

We created the monthly payment plan to make the course more cashflow friendly to people.

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 … that’s the cost of the course.

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.

“How long does the course last? How many lessons?”

There are 6 modules, and each module has several lessons and exercises.

When you join, you’ll 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’ll see all of the material within about 6 weeks.

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!

Try the course
risk-free for 30 days

Try the course.

If you’re not completely satisfied with your progress, let me know within 30 days and I’ll refund all of your money, no questions asked.

This is entirely RISK FREE for you. You’ll get to try out the best resource for learning data manipulation in Python and if you’re not completely satisfied, I’ll refund your money.

Yes! I want lifetime access
to Pandas Mastery!

When you join, you’ll get lifetime access to the Pandas Mastery course, including videos, code, practice exercises, and all future updates.

Only one payment today of:



This is a special one-time price for you,
as a new subscriber to the Sharp Sight email list.

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