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R Programming

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R programming
Johns Hopkins University Online Course Highlights
  • 4 weeks long
  • 20 hours to complete
  • Learn for FREE, Upgradable
  • Self-Paced
  • Taught by: Roger D. Peng, Jeff Leek, Brian Caffo
  • View Course Syllabus

Online Course Details:

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.

What You Will Learn?

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

SKILLS YOU WILL GAIN:

  • Data Analysis
  • Debugging
  • R Programming
  • Rstudio

Take This Online Course