Master Python Data Wrangling
in 10 Minutes per Day

• Master data manipulation with Pandas
• Memorize Pandas syntax in weeks
• In as little as 10 minutes of day
• Even if you have limited time …

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.

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.

And a few specific problems will stand in your way …

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. 

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.

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.

You’ll need to submit resumes that explicitly tell them that you have the skills that they’re looking for.

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.”

But … there’s more

They’re going to test you.

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

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.

Every single one tested me on my ability to write code.

So as a data science candidate, you need to understand, that they’re going to test you.

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.

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

Data wrangling is hard enough for most beginners.

But the general difficulty is made worse by another factor.

It’s very hard to find time.

You’re busy, right?

Work, friends, social life, maybe a hobby or two.

You have a busy life and it’s hard to find time to master data wrangling techniques.

And to top it off, I bet you forget a lot of what you learn.

Have you ever learned some Python syntax, and the forgotten it?

It’s very common …

But forgetting the things you learn will make it even harder.

Because you’ll waste even more time re-learning things.

Look.  

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.

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 …

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.

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 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.

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.

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

BONUS:
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.

BONUS:
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.

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.

BONUS:
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.

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.

BONUS:
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.

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.

About Your Instructor

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.

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:

Frequently Asked Questions

Master the “most important”
data science skill

Data manipulation is a huge part of data science.

On any given project, somewhere around 80% of your work will be data wrangling …

… getting data

… cleaning data

… reshaping data

… aggregating data

The rumors you hear really are true: data manipulation is typically the majority of any data science project.

If that’s the case, doesn’t it make sense to spend a disproportionate amount of time learning data manipulation?

Doesn’t it make a lot of sense to master the skill that makes up 80% of the work?

Doesn’t it make sense that mastering data wrangling will yield a huge “return on investment?

Of course.

If you really want to learn data science, the first skill you must master is data manipulation.

Everything else …

… data analysis, data visualization, machine learning …

… it all depends on data manipulation.

So before you learn more advanced skills, you should focus on data manipulation.

If you’re ready to take data science seriously, enroll today and learn to wrangle your data like a professional.

Get the most efficient way
to learn Pandas

I’m sure you’re busy and crunched for time.

I am too …

That’s exactly why I designed Pandas Mastery to be the most time efficient way to learn and master Pandas.

It’s designed to help you master data manipulation as fast as possible … in the smallest amount of time.

To be clear: I’m not talking about taking shortcuts.  Shortcuts are for lazy people who don’t want to put in any effort.

I’m talking about efficiency.

Everything about Pandas Mastery is designed to be maximally efficient.

… focusing on the most important tools

… the structure of the course

… the lessons (you can even play the videos at 2x speed)

… the practice exercises (which will help you memorize the syntax in only a few weeks)

Everything about Pandas Mastery is designed to be as time efficient as possible.

If you can put in only 20 or 30 minutes a day …

… and if you practice exactly like we show you

Then you’ll be wrangling your data like a pro in only a few weeks.

If you’re ready to learn Pandas and if you’re ready to stop wasting time, then enroll now.

Discover One of the Secrets
to Data Analysis with Python

If you’ve ever struggled with data analysis in Python, then you need to enroll in Pandas Mastery.

Why?

Data wrangling is one of the secrets of data analysis.

(The other one is data visualization.)

Data analysis often requires you to subset …

… reshape

… group

… and summarize your data.

Along with many other subtle data manipulations.

The truth is, a huge part of data analysis is simply subsetting, aggregating, and reshaping your data.

Guess what package you need to learn if you want to subset, aggregate, and reshape your data?

Pandas.

The truth is, if you struggle with data analysis, then you almost certainly need to learn more data wrangling.

And to learn data wrangling in Python, you need to master Pandas.

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.

You could save yourself
years of time

Time is your most valuable resource.

It’s 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’t have any plan.

Pandas Mastery will save you valuable time …

The course is highly structured and extremely efficient.

It’s 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.

You could save yourself hundreds of hours of unnecessary work.

Don’t try to figure it out alone.

If you join, you’ll get a step-by-step plan.  You’ll also get a high performance practice system that will enable you to master Pandas data manipulation in a matter of weeks.

Don’t try to figure it out alone. Save yourself your valuable time.

Do the math. If you value an hour of your time at $50 dollars, and this course saves you just 100 hours, that’s $5000 saved.

And personally, I value my time a lot higher than $50 an hour.

If you do too … if you value your time at more than $50/hour, then you could save thousands of dollars.

Do the math.

This course could save you thousands of dollars, just by saving you time.