R Programming

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What Will You Learn?

Learn how to program in R and use it for effective data analysis in this free course. Discover how to set up the necessary software for a statistical programming environment. Understand basic programming language concepts as they apply in a statistical context. The course covers practical aspects like programming in R, reading data, using R packages, creating functions, debugging, and organizing code. You'll also get hands-on experience in statistical data analysis. Join now to improve your R programming skills and enhance your data analysis abilities.

About This Course

Provider: Coursera
Format: Online
Duration: 57 hours to complete [Approx]
Target Audience: Intermediate
Learning Objectives: After completing this free course, you will be proficient in programming in R and utilizing it for effective data analysis.
Course Prerequisites: Basic Understanding of Programming Languages
Assessment and Certification: NA
Instructor: Johns Hopkins University
Key Topics: R Programming, Data Analysis, Debugging, Rstudio
Topic Covered: 
  2. - Installing R
  3. - Introduction
  4. - Overview and History of R
  5. - Getting Help
  6. - R Console Input and Evaluation
  7. - Data Types: R Objects and Attributes
  8. - Data Types: Vectors and Lists
  9. - Data Types: Matrices
  10. - Data Types: Factors
  11. - Data Types: Missing Values
  12. - Data Types: Data Frames
  13. - Data Types: Names Attribute
  14. - Data Types: Summary
  15. - Reading Tabular Data
  16. - Reading Large Tables
  17. - Textual Data Formats
  18. - Connections: Interfaces to the Outside World
  19. - Subsetting: Basics
  20. - Subsetting: Lists
  21. - Subsetting: Matrices
  22. - Subsetting: Partial Matching
  23. - Subsetting: Removing Missing Values
  24. - Vectorized Operations
  25. - Introduction to swirl
  26. - Control Structures: If else
  27. - Control Structures: For loops
  28. - Control Structures: While loops
  29. - Control Structures: Repeat, Next, Break
  30. - Your First R Function
  31. - Function
  32. - Scoping Rules: Symbol Binding
  33. - Scoping Rules: R Scoping Rules
  34. - Scoping Rules: Optimization Example
  35. - Coding Standards
  36. - Dates and Times
  37. - Loop Functions
  38. - Debugging Tools
  39. - Simulation
  40. - R Profiler

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Course Tags
R Programming R Language Free Course Top Free Course R Language With Data Analysis Data Analysis Debugging Learn R Programming For Free