In this path, you’ll learn the fundamentals of Python so you can prepare data and clean and correct errors. You’ll also learn to master various components and techniques of machine learning, like calculus, linear algebra, linear regression, k-nearest neighbors, k-means clustering, and decision trees.
Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
How to program with Python to perform complex statistical analysis
How to create data visualizations to share insights with stakeholders
How to build basic machine learning projects from start to finish
How to create and improve basic predictive models
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Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you'll master data skills and grow your career.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren't satisfied with your outcome, we'll give you a refund.
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