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Pandas

Tables in Python: load, clean, analyse and export data.

Beginner to Intermediate5 modules22 lessonsFree · no sign-up
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Syllabus

01 BasicsSeries and DataFrames. 4 lessons
  1. 1.1What is Pandas?Coming soon
  2. 1.2SeriesComing soon
  3. 1.3DataFramesComing soon
  4. 1.4Reading CSV, Excel and JSONComing soon
02 Exploring DataFirst look at a dataset. 4 lessons
  1. 2.1head, info and describeComing soon
  2. 2.2Selecting columns and rows: loc and ilocComing soon
  3. 2.3Filtering rowsComing soon
  4. 2.4SortingComing soon
03 Cleaning with PandasFixing messy data. 5 lessons
  1. 3.1Missing values: isna, fillna, dropnaComing soon
  2. 3.2DuplicatesComing soon
  3. 3.3Changing data typesComing soon
  4. 3.4String methodsComing soon
  5. 3.5Working with datesComing soon
04 TransformingReshaping and combining. 6 lessons
  1. 4.1Adding and modifying columnsComing soon
  2. 4.2apply and mapComing soon
  3. 4.3GroupBy and aggregationComing soon
  4. 4.4Merge and joinComing soon
  5. 4.5ConcatComing soon
  6. 4.6Pivot tables and meltComing soon
05 OutputSharing results. 3 lessons
  1. 5.1Plotting with PandasComing soon
  2. 5.2Exporting dataComing soon
  3. 5.3Performance tips for large dataComing soon