Building upon Python fundamentals, this course covers how to optimize your code using the two most popular Python libraries: NumPy and pandas. These libraries allow you to program more efficiently and save time..
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4.8 (359 reviews)
“The beauty of Dataquest is that it starts at the most basic level, so a true beginner can understand the concepts”
In this course, you’ll learn to use NumPy and pandas for data exploration, preparation, and analysis. You’ll start this course by learning how NumPy can streamline your data science workflow with vectorized operations, ndarrays, and Boolean indexing. You’ll then discover how pandas can super-charge your data exploration, preparation, and analysis. Finally, you’ll bring everything you’ve learned to a data analysis project to test your skills.
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.
Analyzing data with NumPy and pandas
Implementing coding concepts such as vectorized operations and Boolean indexing
Optimizing your data science workflow and building proficiency in data analysis
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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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