Time to completeApprox. 2 hours
Certificate of completionIncluded with paid plans
Prerequisites1 courseWe suggest you complete the following courses before you get started with How to Clean Data with Python:
- Learn Python 3
About this course
People say that data scientists spend 80% of their time cleaning data and only 20% of their time doing analysis. Learn some of the most common techniques for getting your data ready to analyze. Along the way, you’ll learn the basics of Regex, a fun and powerful tool to find patterns in strings.
How to Clean Data with Python
Some say data scientists spend 80% of their time cleaning data and 20% of their time doing analysis. Learn how to do this 80% in Python!
Hands-on learningDon’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
How to Clean Data with Python course ratings and reviews
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- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
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AssessmentsAuto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
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Frequently asked questions about How to Clean Data with Python
Raw data is messy and hard to analyze, so we have to “clean” it by filling in missing values, correcting mistakes and improper formatting, fitting it into the right rows and columns, and other methods you’ll learn in this course.