Data Analysis with Python for Excel Users - Full Course

Data Analysis with Python for Excel Users - Full Course

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) The pivot() method

26 of 32

26 of 32

) The pivot() method

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Classroom Contents

Data Analysis with Python for Excel Users - Full Course

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  1. 1 ) Intro
  2. 2 ) Install Python and Jupyter Notebook with Anaconda
  3. 3 ) Jupyter Notebook Interface
  4. 4 ) Cell Types and Cell Mode
  5. 5 ) Jupyter Notebook Shortcuts
  6. 6 ) Module 1 - Hello World
  7. 7 ) Data Type
  8. 8 ) Variables
  9. 9 ) Lists
  10. 10 ) Dictionaries
  11. 11 ) IF Statement
  12. 12 ) FOR Loop
  13. 13 ) Functions
  14. 14 ) Modules
  15. 15 ) Module 2 -Introduction to Pandas
  16. 16 ) How to create a dataframe
  17. 17 ) How to show a dataframe
  18. 18 ) Basic Attributes, Functions and Methods
  19. 19 ) Selecting One Column from a Dataframe
  20. 20 ) Selecting Two or More Columns from a Dataframe
  21. 21 ) Add New Column to a Dataframe (Simple Assignment)
  22. 22 ) Operations in dataframes
  23. 23 ) The value_counts() method
  24. 24 ) Sort a DataFrame with the sort_values() method
  25. 25 ) Module 3: Introduction to Pivot Tables in Pandas
  26. 26 ) The pivot() method
  27. 27 ) The pivot_table() method
  28. 28 ) Data Visualization with Pandas (New Dataset + Pivot Table)
  29. 29 ) Lineplot
  30. 30 ) Barplot
  31. 31 ) Piechart
  32. 32 ) Save Plot and Export Pivot Table

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