In this course, you’ll learn how to balance graph creation and statistics in your visualizations using tools such as Matplotlib and Seaborn. Throughout this course, you’ll learn the most common methods and techniques to visualize data using a variety of Python libraries.
Best of all, you’ll learn by doing — you’ll practice 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.
Developing fundamental knowledge of data visualization using Python libraries
Visualizing data with line plots, scatter plots, bar plots, and more
Optimizing your data visualization workflow to reveal insights and fuel data-driven decisions
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Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our course, you'll master data skills and grow your career.
We believe so strongly in our courses that we offer a full satisfaction guarantee. If you complete a career course on Dataquest and aren't satisfied with your outcome, we'll give you a refund.
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build confidence with our in-depth projects, and show off your data skills.
Work with real data from day one with interactive lessons and hands-on exercises.
Impress employers by completing a capstone project and certifying it with an expert review.
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