Data wrangling with Python

  1. Anaconda installation
  2. Introduction to numpy package
  3. Basic vector operations with numpy
  4. Basic matrix operations with numpy
  5. Solving systems of linear equations with numpy
  6. Introduction to pandas: Series
  7. Introduction to pandas: Dataframes
  8. Pandas: reading in .csv and .txt files
  9. Pandas: reading in excel files, reading values, manipulating keys
  10. Dealing with NaN values in dataframes
  11. Basics of conditional data selection
  12. Dropping columns or rows in the dataframe
  13. Data subsetting
  14. Data grouping based on qualitative attributes