Course overview

In this course, you’ll explore the world of Python data engineering. You’ll learn basic Python concepts such as dictionaries, functions, and default arguments.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. The course will conclude with two guided projects:

  • The first one teaches you to learn and install Jupyter Notebook
  • The second one asks you to perform practical data analysis on profitable app profiles for the App Store and Google Play Market

Key skills

    • Refining fundamental Python knowledge for data engineering
    • Using dictionaries, functions, and default arguments
    • Using Jupyter Notebook

Course outline

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Projects in this course

The Dataquest guarantee

  • 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.

Master skills faster
with Dataquest

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your course certification

Impress employers by completing a capstone project and certifying it with an expert review.

Learning resources

How to Learn
Data Science

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How To Learn Python

A step by step guide to learn and master Python.

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Python Practice

65 different Python practice exercises you can start today.

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