Learn How to Clean Data with Python


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.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Learn How to Clean Data with Python are most similar to the requirements found in Business Analyst job advertisements.

Similarity Scores (Out of 100)