Handling Missing Data
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Course overview
- Provider
- Codecademy
- Course type
- Free trial availiable
- Level
- Beginner
- Deadline
- Flexible
- Duration
- 1 hour
- Certificate
- Available on completion
Description
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.
Take-Away Skills
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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