Data Cleaning
Offered By: Kaggle
Course Description
Overview
Master efficient workflows for cleaning real-world, messy data.
- Drop missing values, or fill them in with an automated workflow.
- Transform numeric variables to have helpful properties.
- Help Python recognize dates as composed of day, month, and year.
- Avoid UnicoodeDecodeErrors when loading CSV files.
- Efficiently fix typos in your data.
Syllabus
- Handling Missing Values
- Scaling and Normalization
- Parsing Dates
- Character Encodings
- Inconsistent Data Entry
Taught by
Rachael Tatman
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