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Data Cleaning for Everyone


There's a commonly cited statistic that whenever you get a new dataset, 80% of the project time is just spent cleaning the dataset. Even though it's such a commonly used skill, it's one of the toughest data analysis skills to crack. Of all the candidates who go through DataCamp Certifications, data cleaning is the step that is the most common reason to fail.

In this session, you'll learn about the common types of "data dirtiness" and the techniques you need to clean them. You'll also learn about the common mistakes made when cleaning data, and how to avoid them.

This session is essential for anyone considering taking any of the DataCamp Certifications or anyone who has to deal with dirty datasets.

Key Takeaways:

  • Learn about the most common issues in dirty data.
  • Learn techniques for dealing with dirty datasets.
  • Learn best practices for cleaning data, and how to avoid common pitfalls.

Additional Resources:

Aimee Gott Headshot
Aimee Gott

Head of Certification Content

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