Path overview

In this path, you’ll gain the fundamental skills to begin cleaning data, using the powerful tools offered by Python such as identifying and removing inaccurate records from a dataset. You’ll learn how to manipulate, analyze, and visualize data using premier Python libraries such as Pandas and Numpy.


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.

Key skills

  • How to clean and visualize data

  • How to program with Python to manipulate data

  • How to work with missing data

The Dataquest guarantee

  • 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.

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 path certification

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

Path outline

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Projects in this path

Learning resources

Most Helpful Python Libraries for Data Cleaning in 2021

Here are the top 15 picks for the most helpful Python libraries for data cleaning

Read Article

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