Structure

[stephaneguerrier]

1) Intro (add tidy?, move 1.2 into appendix, add intro to stat)

Part I Foundation 2) RMarkdown 3) Github 4) RStudio Projects

Part II Intro to R 5) DS 6) CS 7) Functions

Part III Introduction to Data Science with R 8) Data Wrangling

• dplyr
• reshape
• Regular expression 9) Data access
• working with data base?
  • joins
  • sql (ODBC)
    • Web scrapping 10) Data Visualizations
    • base R (shiny app)
    • ggplot (shiny app)
    • lattice (shiny app)
    • maps/leaflets 11) Select topics in data mining
    • Networks ?
    • Introduction to text mining
    • Introduction to Machine Learning

Part IV: Sharing your code (?) 12) Shiny 13) R packages

Part V: High performance computing 14) Parallel computing 15) C++

Appendix

• Basic math & prob
  • Sum/ Product
  • Derivative/ integrals
  • linear alg.
• Coding Style
  • Comments
  • Conventions
  • White space

[samorso]

Hey Stef, This is a great idea. I have some suggestions:

a) Change the order between Rcpp (chapter 15 in your proposal) and Parallel computing (chapter 14 in your proposal). Parallel computing can be introduced "quite easily" within the c++ code so it may be worth learning c++ first.

b) Maybe add a new part "Communication" where we treat website creation.

For the time being, I modified the previous structure by adding two chapters. The current structure is as follows:

1) Introduction Part I Foundation 2) RMarkdown 3) Github Part II Intro to R 4) DS 5) CS 6) Functions Part III Extending 7) Shiny 8) R-package 9) Rcpp 10) Website creation

[stephaneguerrier]

Hi Sam,

OK that's great! I agree with both a) and b). Thanks a lot!

Stef