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
One of the cornerstones of the Python data science ecosystem is NumPy, and the foundation of NumPy is the NumPy array. That being the case, if you want to learn data science in Python, you'll need to learn how to work with NumPy arrays. In this blog post, I'll explain...read more
Linear regression. It’s a technique that almost every data scientist needs to know. Although machine learning and artificial intelligence have developed much more sophisticated techniques, linear regression is still a tried-and-true staple of data science ….read more
The scatter plot ... It's so common that almost everyone knows how to make one in one way or another. You see them in business, academia, media, news. Students use them. Scatter plots are also extremely common in data science and analytics. The scatter plot is...read more