Master Python Data Visualization
in 10 Minutes Per Day

• Master data visualization in Python with Seaborn
• Memorize Seaborn Syntax
• In as little as 10 minutes per day
• Even if you struggle to find 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 …

As a data professional, you need to use data visualization for almost every part of the data science workflow.

For starters, any data science roll will require you to be able to make a variety of charts and graphs:

• Bar charts
• line charts
• histograms
• heatmaps
• small multiple charts (these are really important)
• pairplots
• bubble charts
• area charts

I could go on and on …

You need to be able to create this quickly, and accurately. When I worked at Apple, I’d often get “emergency” requests for some charts and graphs … and I had to prepare them really fast.

That’s what it takes to get a high-paying data science job.

And it’s not just making these charts … you need to be able to format them correctly.

And you need to be able to use them for things like:

… data exploration

… data analysis

… “finding insights”

… storytelling with data

… presentations to executives

All of these skills require visualization in one way or another.

If you want to make a ton of money with data science, you NEED to know data visualization, and you need to know it well.

If you want to get a highly-paid data science job, there’s going to be some competition.

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 know how to make bar charts, line charts, histograms, and all of the critical visualizations that a data scientist needs.”

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.

Now to be clear: these coding exams are based on how to do data science tasks …

So, how to write code for essential data visualizations, like bar charts, histograms, line charts, pair plots, and on and on.

Like it or not, if you want that $150,000 data science job, you need to memorize the code to create those visualizations, just so you can pass their interview coding exam.

Let’s face it: learning data science is hard.

You need to learn lots of tools and techniques, like all of the visualization tools I mentioned earlier: bar charts, stacked bars, line charts, area charts, scatterplots, bubble charts, small multiples, pairplots. And a lot more

Moreover, you need to learn a lot of conceptual knowledge, like:

• how to pick the right data visualization for a particular problem
• how to “tell stories with data”
• how to “find insights in data”
• how to “communicate visually” to non-technical people

And so on.

There’s a lot to learn.

But it’s worse than that.

On top of how much there is to learn, 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 learn all of those tools, techniques, and concepts.

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.

Harder to use your time efficiently …

And harder to past the data science interview exams.

If you’re serious about learning data science well enough to actually get a high-paying job, you’ll need to find a way that enables you to simplify learning data science.

You’ll need a way to remember everything well enough to pass the interview tests …

And you’ll a study process that’s efficient enough for you to master these skills, even with your limited time.

A few years ago, I was in a similar position as you.

I wanted to upskill and make more money …

But many of the skills I needed to learn were difficult.

AND I kept forgetting syntax.

AND I was really busy on top of that.

I needed to find a more effective, more efficient way to learn.

So I took a bit of a sidetrack …

I researched how to learn faster, more efficiently, and with better long term memory of things like complex data science syntax.

I read about how Navy SEALs train. I read about how chess masters train. I read about how polyglots learn new languages (polyglots are people who speak multiple languages).

Eventually, I started noticing patterns.

All of these elite performers use similar practice methods to train and learn new skills.

Finally, I “cracked the code” on learning data science.

And everything changed.

What if you could master data science in as little as 10 minutes per day?

After months (even years) of struggling to learn data science, I finally “cracked the code.”

I developed a training system to enable me to very rapidly learn new data science skills.

This system is hyper-efficient.

With as little of 10 minutes of practice per day, this system has enabled me and my students to master data visualization in Python.

And importantly, this system has helped me and my students memorize the code.

If you practice using our system, you’ll be able to write Python visualization code “with your eyes closed” …

… and make any visualization that an interview exam might test you on.

If you practice like we show you, you’ll be able master Python data visualization in a couple of months, in as little as 10 minutes per day.

Here’s how …

A systematic, step-by-step course to help you learn and master data visualization in Python using the Seaborn package.

Learn the essential tools of data visualization in Python

To be a top performer, you really need to know about a dozen important data visualizations.

These visualizations are like tools that you can use to analyze data, find insights, and “tell stories with data.”

Seaborn Mastery will simplify data visualization by focusing intensely on these most commonly used visualizations.

You’ll discover the visualizations that you absolutely need to know …

Without being overwhelmed with things that you won’t need.

This is the 80/20 rule in action.

Seaborn Mastery will show you the visualizations that you need to know, explain the syntax, and help you memorize all of the syntax that you learn.

When you join the course, you’ll learn and master all of the essential visualizations that you need in order to become a top performer.

Memorize Seaborn Syntax

One of the most important benefits of the course, is that it will help you memorize all of the syntax that you learn.

Have you ever learned some Python syntax, but then forgotten it a few days later?

Have you ever had to look up some syntax on Google to finish a task?

It’s okay if you have … I’ve been there too …

But you should know that there’s a better way

There’s a way to memorize Python syntax so that you remember it FOREVER

When you join Seaborn Mastery, you’ll get access to our unique practice system that will help you memorize Seaborn syntax.

This practice system incorporates deep insights from psychology and neuroscience, and will help you “hack your memory” to memorize all of the syntax you lear.

Once you take the course and practice like we show you, you’ll remember all of Seaborn syntax you learn, permanently.

Get the tools to analyze data and find insights

To analyze your data and “find insights,” you need the right tools

In fact, to analyze data and find insights, you need to use data visualizations.

Seaborn Mastery will give teach you the critical data visualization tools that you need to do data analysis and to find the valuable insights that your partners want.

Master data visualization using Seaborn

Seaborn Mastery will enable you to rapidly master data visualization with Seaborn.

If you’ve ever struggled with data visualization in Python, this is the course you need.

When you join, you’ll learn everything that you need to know quickly, systematically, and efficiently.

If you study the material, and practice like we show you, you willl “master” data visualization in Python within a few weeks.

Skyrocket your productivity

Knowing syntax and knowing the right tools is important …

… but at the end of the day, it’s all about productivity.

To get hired, and to get paid you need to be able to do real work and get things done

Seaborn Mastery will give you the tools you need to visualize your data efficiently and effectively …

Once you complete the course, your productivity will increase dramatically.

In Seaborn Mastery, you’ll learn essential data visualization skills, systematically

Seaborn Mastery will teach you the essential skills of data visualization using the Seaborn package.

But the course is highly structured.

You’ll learn Seaborn 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:

Visualize Relationships
Between Variables

In module 1, you’ll learn how to visualize relationships between numeric variables.

So in this module, you’ll learn several important techniques:

• Scatterplot
• Lineplot
• Bubble Chart
• Pairplot
• Regplot

Scatterplots and line charts are essential tools that you absolutely need to know, but they can be a little complicated to a Seaborn beginner.

We’ll explain everything in a way that makes them easy to understand and easy to use.

We’ll also show you some extra techniques that will help you wield the full power of Seaborn when visualizing relationships between variables.

In Module 2, you’ll learn:

Visualize Categorical Data

Next, you’ll learn how to visualize categorical data.

Seaborn actually has several techniques for visualizing categorical data, which sometimes confuses beginners.

This course will explain everything you need to know to visualize your categorical data

You’ll learn about bar charts and count plots, as well as when to use each of these techniques.

And you’ll learn how to create “violin plots,” which are like a specialized, multivariate boxplot.

This module will clearly explain the syntax for each of the techniques, and will help you memorize all of the syntax, so you’ll be able to visualize your categorical data like a data-vis master.

In Module 3, you’ll learn:

Visualize Data Distributions

In this module, you’ll learn how to visualize data distributions.

You’ll learn:

• How to plot distributions of single variable
• How to plot distributions of two variables
• How to manipulate the aesthetic features of your charts

We’ll explain the syntax, and give you clear, step-by-step example of how to use these visualizations.

In Module 4, you’ll learn:

Create Multi-Plot Visualizations

Specifically, you’ll learn:

• How to make small multiple charts
• How to plot many variables in “pairs” to quickly find correlations and relationships

These tools are very powerful multivariate techniques, that are essential for “finding insights” in data.

In Module 5, you’ll learn:

Change Plot Aesthetics

In this module, you’ll learn how to format your charts and change plot aesthetics..

You’ll learn how to quickly set a “theme” for your charts to make them look more professional.

And you’ll learn other techniques for controlling fine-grained aspects of your charts and graphs.

In Module 6, you’ll learn:

Work with Colors
and Color Palettes

Finally, you’ll learn how to work with colors and color palettes.

You’ll learn how to modify the colors of your charts, to make them look more professional, but also to communicate insights more clearly to your colleagues.

This is the final bit of polish that will enable you to create beautiful, insightful data visualizations in Python.

BONUS:
Data Visualization
Teardown Vault

Seaborn Mastery contains bonus vaults of data visualization teardowns.

In the “data visualization teardown” vault, you’ll learn more about “how to think” about data visualization, and how to “tell stories with data.”

In these video lessons, I break down data visualizations and explain the good, the bad, and the ugly. These lessons will help you sharpen your understanding of how to effectively use data visualizations to communicate valuable insights.

These teardowns will sharpen your intuition on how to best design individual charts, and also how to use them to “tell stories with data.”

BONUS:
“Seaborn Objects” Essentials 

In September of 2022, the Seaborn team released a new system for creating data visualizations in Python.

In my opinion, this “Seaborn Objects” system is the best, most powerful, most easy to use data visualization toolkit for Python.

It’s based on the Grammar of Graphics, so it’s structurally similar to ggplot2 from R, as well as Tableau.

In terms of usability though, this new system will enable you to create complex, beautiful, insightful visualizations, with a simple, easy-to-understand syntax.

And you’ll learn about it in this bonus section of Seaborn Mastery.

You’ll learn the syntax for this new system, and you’ll learn how to use it to create both common charts (like scatterplots, histograms, etc), and also more complex charts like small multiples and pairplots.

This powerful new Seaborn system is so new, it’s difficult to find any good information on it.

But you’ll learn everything about it that you need to know, in Seaborn Mastery.

BONUS:
5 Visualization Mistakes
That Make You Look Like an Amateur

Data visualization is as much about good design as it is about writing syntax to create visualizations.

And a big part of good design is avoiding simple design mistakes.

So in this bonus, I’ll show you 5 of the most common data visualization mistakes that amateurs make.

These are things that you NEED to know, so you know what to avoid doing.

You’ll learn:

• 3 Major Plot Title Mistakes
• The #1 Worst Visualization That You Need to AVOID (hint: it’s extremely common)
• The Reason that 3D Charts are Terrible (and what to do instead)

… and more

This bonus will further sharpen your intuition about how to create great visualizations by telling you 5 things that you absolutely need to avoid.

(You really need to see this, because you’re probably doing at least 1 or 2 of them …)

BONUS:
5 Ways To Improve
Your Data Visualizations

Again … data visualization is about more than just writing syntax.

A lot of visualization is knowing how to use different elements of a plot to communicate to an audience visually.

Have you ever heard someone say the phrase “telling stories with data”?

Visual design is a big part of that.

You have to know how to structure your visualizations.

That’s why in this bonus, I’ll show you 5 simple ways to improve the design of your visualizations.

You’ll learn:

• The RIGHT Way to Use the Plot Title
• How to Use the Plot Subtitle
• Why Plot Annotations are Useful (And what to Use Them For)

… and more

In this bonus, you’ll learn more tips and strategies to improve your visualizations, so you create your charts and graphs like a high-paid pro.

BONUS:
How to Choose the Best Visualization
for Every Task

In order to “find insights in data” and “tell stories with data” you need to know how to choose the right visualization for every task and situation.

This lesson will explain, step by step, how to choose the right visualization for your data.

This lesson alone should be worth $100 dollars …. it will show you the secret to choosing the right visualization every time.

Once you read this, it will be easy to “find insights” and do “data driven storytelling” …

Just like I used to do for Apple and Bank of America.

BONUS:
Matplotlib Essentials

 In the Matplotlib modules, you’ll learn:

• How to create bar charts
• How to create scatter plots
• How to create histograms
• How to create line charts
• How to format your data visualizations with “style sheets”

Although I prefer to use Seaborn, due to it’s simplicity and ease of use, Matplotlib is still very commonly used, so you should probably know how to use it. This module will teach you the Matplotlib essentials that you need to know.

BONUS:
Seaborn Visualization Cheat Sheet

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

BONUS:
The Essentials of
Data Visualization for Machine Learning

Data visualization is a big part of exploratory data analysis for machine learning, as well as machine learning diagnostics.

In this bonus module, we’ll show you how to use some of the visualization tools that you learn in the course for machine learning.

If you’re interested in Python AI (and you SHOULD be, because it will be worth millions), then you need to understand how to apply data visualization for AI and machine learning.

This module will show you the essentials that you absolutely need.

Memorize Seaborn Visualization Syntax

Seaborn Mastery has been designed to help you memorize Python visualization syntax.

Like it or not, you need to know Python 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 visualize a dataset …

They ask you for a scatterplot …

You smile briefly, and then effortlessly type the code to visualize your data ….

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.

BUT, to make it happen, you need to master these visualization skills.

When you join Seaborn Mastery, you’ll discover a training system that will help you master those necessary visualization skills, and memorize seaborn syntax.

Our training system will enable you to memorize the syntax for for visualizing your data with beautiful, insightful charts and graphs.

By memorizing the essential syntax, you’ll dramatically increase your likelihood of getting that coveted data science job.

After a few weeks of practice, you’ll be able to write Seaborn 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 made thousands of data visualizations.

I designed this course to help you quickly increase your skill with visualization, but also data storytelling, finding insights, data communication. The skills you need to get a data science job.

I want to turn you into a skilled data visualization 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 Seaborn in a few weeks sounds too good to be true.

Mastering data visualization in Python in a few weeks doesn’t seem possible …

But it IS possible. 

You can become “fluent” in Seaborn and master data visualization 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

Get the most efficient way

to learn data visualization

in Python

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

I am too …

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

It’s designed to help you master data visualization 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 Seaborn Mastery is designed to be maximally efficient.

… focusing on the most important techniques

… 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 Seaborn 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 visualizing your data like a pro in only a few weeks.

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

A skillset worth thousands

According to Glassdoor, the average salary for a data scientist is almost $150,000. 

That’s over DOUBLE the median household income in the US.

Do the math.

Mastering data science skills could be worth tens of thousands of dollars in a single year.

And over the course of your career, data science skills could be worth hundreds of thousands of dollars.

Seaborn Mastery will help you master one of the most important data science skills.

It’s a major step towards mastering data science in Python and increasing your earning power.

Enrolling in Seaborn Mastery could easily give you a 10x return on investment.

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.

Seaborn Mastery will save you valuable time …

The course is highly structured and extremely efficient.

It’s designed to enable you to learn data visualization 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 data visualization with Seaborn 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.

Data Visualization in Python,
Made Easy

Data visualization in Python is notoriously challenging.

Traditional tools like Matplotlib have overly complex syntax. In particular, Matplotlib has “finicky” syntax that never seems to do what you need it to.

Personally, whenever I tried to visualize my data in Python, I’d constantly get stuck.

I frequently struggled to create anything beyond basic plots.

Moreover, the documentation for Python’s data visualization tools is often complicated, hard to understand, and sometimes out of date.

For years, I asked myself “isn’t there an easier way to do this in Python?”

Well, now there is.

I designed this course to make data visualization in Python as easy as possible.

I’ve simplified Python data visualization with three things:

• Selection
• Simplification
• Practice System

First, I’ve selected the best data visualization package for Python: Seaborn.

Seaborn is great, because it has a very simple syntax. The syntax is easy to understand. And the functions operate at a “high level,” meaning that you can create charts and graphs with very simple functions. With Seaborn, you don’t have to use loops and other techniques to plot your data.

But remember: Seaborn is built on top of matplotlib. So you can use Seaborn to do high-level plotting … but if you need to dig into the low-level details, you can do that too.

Second, I’ve simplified everything. For every Seaborn plotting function (like functions for bar charts, line charts, small multiple charts, etc), the course breaks everything down into simple pieces. The lessons in the course explain what every part of the syntax does. When you take the course, everything will become crystal clear.

Third, I’ve made this course highly systematic. After breaking all of the syntax down, step-by-step, we show you how to practice that syntax to help you memorize it all. And we show you how to apply everything you learn.

Seaborn Mastery is an end-to-end system to help you learn data visualization in Python, ULTRA FAST.

This is the easiest, most efficient way to learn data visualization in Python using Seaborn.

Ace the Data Visualization Section
of Your Data Science Interview

If you want to pass your data science interview, you need to know data visualization syntax by memory

Every big tech company – like Facebook, Google, Amazon, Apple – they will all test your ability to write data science code

And so will a variety of other companies, like banks and insurance companies.

This is a well known part of the data science interview process.

And like it or not, if you want a $150,000+ data science job, you need to pass the interview, which means, you need to have the syntax memorized.

Seaborn Mastery will help you memorize all of the Seaborn syntax that you learn.

We developed a practice system based on cognitive neuroscience …

And this practice system will “hack your memory” so you remember all of
the necessary syntax.

Passing your data science interview could be worth tens of thousands of dollars over the course of your career.

So this course, and our practice system, are easily worth 10X the price you’ll pay.

And we guarantee that the system will work for you by giving you 30 days to try it out.

You have nothing to lose and it could be worth tens of thousands to you.