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Slide 9: free, open-source software that can do most data science tasks (give more general examples if any. last time we spent too long naming things most people didn't ever hear of)
Remove the GUI loading of data -- this can confuse people. We can mention that there is a package to create a GUI, but that we recommend writing code and will not focus on the GUI. Maybe add material on the appendix on why we recommend using code
The joke on slide 31 was not particularly well-received last time
Develop a bit the idea of "building blocks" in slide 40
Joke on slide 51 was also not a big hit
Intro II
Remove slides: 8, 9, 10, 11, 12, 54
File paths are ALWAYS the hardest part of these trainings.
Slide 38: remove reference to shortcut
Consider moving loops and indentation to the appendix, depending on the level of familiarity of participants with coding in general
List suggestions for training update
To make edits, use this branch: https://github.com/worldbank/dime-r-training/tree/rwanda-2020
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