Clarifications about what is going to be covered

[chendaniely]

• Data Ingestion & Storage
  • Not exactly clear what should be covered?
  • Just the various data formats and ways to store them?
  • Some of those things are more related to web scrapping, but it's too early to do a web scrapping tutorial
• Data Objects in R: Data.Frames & Data.Tables
  • Assuming this is the intro to R lesson?
  • Would teaching both dataframes AND data.table at the same time be really confusing?
  • I would suggest teach dataframes first, and push data.table to later on otherwise there's 2 totally different bits of syntax that newcomers to R will struggle through
• Functions & Looping in R: Functions & Parameters; 'for' loops vs apply family
  • I can move the 'making choices' part (6/1) in here as well (it's talking about if statements).
  • Do you want to cover the purrr package here?
• Data Visualization & Exploration in R
  • Is Josh teaching base graphics or ggplot?
  • Does it matter? or should we standardize what is being used?
• Geographic data
  • Currently in 2 locations:
    • 5/25 Spatial Data Objects in R: Spatial Data.Frames [point, line, polygon], Rasters
    • 6/2 Training: Working with Geographic Data in R
• Make
  • Do you want to add make to the training (for the graduate students)?
• Text analysis
  • Do we want to add this anywhere?
  • tidytext package
• Web Scrapping
  • Do we want to cover this too?
• Python
  • If students ask, would we be able to fir this in anywhere?