Cleaning, Reshaping, and Expanding Datasets in Python

It has been said that obtaining and cleaning data constitutes 80% of a data scientists job. Whether it's correcting or replacing missing data, removing duplicate entries, or dealing with outliers, our datasets always require some level of cleaning and reshaping. Doing so improves the accuracy of our results immensely.

In this 2 hour project-based course, we will examine a variety of methods to clean, and reshape any dataset.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.