In this path, you’ll learn how to master mandatory data scientist technical skills, including object-oriented and functional programming with Python, libraries like scikit-learn, Matplotlib, NumPy, and pandas. You’ll also master web scraping and SQL queries, deep learning and machine learning, and predictive analysis. To help you stand out from other candidates, we included concepts such as the UNIX command line, Git, and GitHub to develop efficient collaboration.
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 of large datasets
How to perform SQL queries and web-scraping to explore and extract data from databases and websites
How to build insightful data visualizations to tell stories
How to automate machine learning algorithms and build predictive modeling processes
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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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Projects in this path
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The Data Science Career Guide
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Why Study Data Science with Dataquest?
Here's some of what we think is special about learning Data Science on Dataquest.Watch Video
How to Start a Career in Data Science
Learn students’ key tips to start your data scientist career.Watch Video
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