We’ll teach you high-value data science skills
and help you become a top performer in record time.
. . . the type of top performer that companies pay for.
Learn essential, high-value
data science skills
Do you want to be a great data scientist? Then first, you need to be a great data analyst.
We’ll give you the practical tools you need to gather data, wrangle data, analyze data, and ultimately produce the critical deliverables that companies need.
Companies are desperate for data-driven insights, so to get hired you need to master data visualization.
We’ll help you build your data visualization skills from beginer to advanced, so you know how to generate the insights that company’s pay for.
Artificial intelligence and machine learning are projected to add trillions of dollars to the world economy.
We’ll make machine learning easy to understand by breaking it down, explaining it step-by-step, and showing you how practice everything you learn.
Become a top performer
by learning how to practice
If you want to get a high-paying data science job, you need to master data science skills.
To do this though, you can’t just watch a few videos, read a few books, and cut-and-paste some code . . .
To master data science skills, you need to practice.
In our courses, you’ll discover a high-performance system for practicing data science code and concepts.
This system is based on the neurosciece of how humans learn, and it will help you master the material and become a top performer in record time.
“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.”
Recent Blog Posts
Last week, we created a map of world oil production, by country. This week, I’ll show you how to make a slight modification. I’ll show you how to highlight specific countries according to a variable in your data frame.read more
This week, here’s another map: a map of world oil production that you can create using R.
As I’ve mentioned, projects like this – a few hundred lines of code, with a variety of functions from the tidyverse – are excellent practice for intermediate data scientists.read more
Recently, I was thinking about energy, solar energy, and battery technology, and I got curious about sources of lithium (which is used in batteries and related tech).
Using a few tools from R, I created a map of lithium production within about 15 minutes. Here, I’ll show you how I did it, step by step.read more