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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.



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.


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Tools
Python

Techniques
Data Science Data Analysis Data Cleaning Regular Expressions

Similar Opportunities
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