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