In this course, you’ll learn critical Python theory and key concepts for basic analysis, cleaning, and manipulation of data.
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“You get small lessons and can practice skills right away. It’s so convenient. Committing to Dataquest was an easy decision.”
In this course, you’ll expand your Python for data engineering knowledge. Using real-world data from the Museum of Modern Art, you’ ll learn how to prepare text data, introduce uniformity into a messy dataset, and more. You’ll also explore object-oriented programming (OOP) and how it powers Python. Finally, you’ll learn new and exciting Python coding concepts for data engineering.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.
Cleaning, manipulating, and exploring dataUsing object-oriented programming, classes, and instancesProcessing dates and times in PythonLoading lessons...
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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