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R Programming

Created/Published/Taught by:
Coursera
Johns Hopkins University
Roger D. Peng
Jeff Leek
Brian Caffo

Content Found Via:
Coursera

Free? Partially: Some Free Content, Some Paid

Cost: $0.00

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This is course 2 of 10 in the Coursera Data Science Specialization.

From Coursera:

“In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Syllabus

  • Week 1: Background, Getting Started, and Nuts & Bolts
  • Week 2: Programming in R
  • Week 3: Loop Functions and Debugging
  • Week 4: Simulating & Profiling”

Recommended Prerequisites: Some programming experience (in any language)

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