Cleaning types, text and dates

All lessons in this track

1. 1
   Why pandas, and how it thinks ~20 min
2. 2
   Series, DataFrames and the index ~25 min
3. 3
   Loading data: CSV, Excel, JSON and SQL ~25 min
4. 4
   First contact: inspecting a new dataset ~25 min account needed
5. 5
   Selecting and filtering rows ~30 min account needed
6. 6
   Missing data: find it, understand it, decide ~30 min account needed
7. 7
   Cleaning types, text and dates ~30 min account needed
8. 8
   groupby: the heart of analysis ~30 min account needed
9. 9
   Joining and combining tables ~30 min account needed
10. 10
    Reshaping: pivot, melt and crosstab ~25 min account needed
11. 11
    Charts that get read ~30 min account needed
12. 12
    Turning it into work someone can trust ~30 min account needed