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Getting started with Anaconda Notebooks
pandas basics
pandas DataFrames
Importing data in pandas + exercise
Selecting rows and columns
Dropping rows by condition
Updating data + exercise
Sorting, casting, and categories
Categories + exercise
Removing duplicative and sparse data
Remove columns with one value
Remove columns with low variance + exercise
Handling missing data
Removing rows with missing values
Fill in missing values with nearest neighbor + exercise
Outliers
Using local outlier factor (LOF) + exercise
Dates and times
Filtering on datetimes
Dates and times exercise
Wrangling text
Regular expression (RegEx) basics
Partial and full string matches
Finding all matches + exercise
Conclusion
End of course survey
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