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.
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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
This tutorial will explain how to use the NumPy concatenate function in Python (which is sometimes called np.concatenate). This post will cover several topics. If you don't want to read the full tutorial, click on the appropriate link and it will send you to the...read more
In this tutorial I'll show you how to use the NumPy ones function, which is often called np.ones. What the numpy ones function does The NumPy ones function creates NumPy arrays filled with 1's. That's it. It's pretty straight forward. The np.ones function is also...read more
This tutorial will explain NumPy axes. It will explain what a NumPy axis is. The tutorial will also explain how axes work, and how we use them with NumPy functions. Although it's probably best for you to read the full tutorial, if you want to skip ahead, you can do so...read more