Handling Missing Data
Why Learn Handling Missing Data?
Nearly every dataset you’ll come across has missing data. So what are you going to do about it? This course will help you identify different types of missing data and how to address each using techniques in Python.
This course will teach you how to use deletion, LOCF, NOCB, linear interpolation, and multiple imputation techniques to address Structurally Missing Data, MCAR, MAR, and MNAR data.
Note on Prerequisites
We recommend you have some knowledge of Python, as well as the pandas library before taking this course.
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I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.
Learn how and when to tackle missing data with deletion, single imputation, linear interpolation, and multiple imputation techniques.
DetailsEarn a certificate of completion
1 hour to complete in total