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Data Cleaning is fundamental for every Data Science project. Regardless of where you're getting the data from, it's never perfect. Some invalid values, some odd types, outliers or statistically insignificant values will arise at some point.
This course will teach you all the common issues found with messy data, and how to fix it with simple and clear techniques.
