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. . . 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
The NumPy linspace function (sometimes called np.linspace) is a tool in Python for creating numeric sequences. It's somewhat similar to the NumPy arange function, in that it creates sequences of evenly spaced numbers structured as a NumPy array. There are some...read more
The Numpy arange function (sometimes called np.arange) is a tool for creating numeric sequences in Python. If you're learning data science in Python, the Numpy toolkit is important. The NumPy arange function is particularly important because it's very common; you'll...read more
Let's talk about the NumPy zeros function. If you're doing data science in Python, you need to be able to work with numerical data. One of the primary tools for working with numerical data is the NumPy array. In some cases, you will have data that you can import into...read more