Data Analysis with R Programming

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What Will You Learn?

Describe the R programming language and its programming environment
Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors
Describe the options for generating visualizations in R
Demonstrate an understanding of the basic formatting R Markdown to create structure and emphasize content

About This Course

Provider: Coursera
Format: Online
Duration: 36 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: After completing this free course, you'll be equipped to apply for introductory-level jobs as data analysts.
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: Google
Key Topics: Data Analysis, R Markdown, Data Visualization (DataViz), R Programming, Rstudio
Topic Covered: 
  1. - Introduction to the exciting world of programming
  2. - Fun with R
  3. - Carrie: Getting started with R
  4. - Programming languages
  5. - Introduction to R 
  6. - Intro to RStudio
  7. - Programming using RStudio
  8. - Programming fundamentals
  9. - Operators and calculations
  10. - The gift that keeps on giving
  11. - Welcome to the tidyverse
  12. - More on the tidyverse 
  13. - Working with pipes
  14. - Data in R 
  15. - R data frames 
  16. - Working with data frames
  17. - Cleaning up with the basics 
  18. - Organize your data
  19. - Transforming data
  20. - Same data, different outcome
  21. - The bias function
  22. - Visualizations in R
  23. - Visualization basics in R and tidyverse
  24. - Getting started with ggplot()
  25. - Joseph: Career path to people analytics
  26. - Enhancing visualizations in R
  27. - Doing more with ggplot
  28. - Aesthetics and facets
  29. - Annotation layer 
  30. - Documentation and reports
  31. - Overview of R Markdown
  32. - Using R Markdown in RStudio
  33. - Structure of markdown documents
  34. - Meg: Programming is empowering
  35. - Even more document elements
  36. - Code chunks
  37. - Exporting documentation

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