The Comprehensive Statistics and Data Science with R

What you will learn in this course?

•  How to manipulate numbers and vectors, and will understand objects and classes.
• How to create data structures in R: vectors; arrays and matrices; lists and data frames.
• How to use R as a statistical environment following many examples.
  
• How to create, estimate and interpret ANOVA, regression, GLM and GAM statistical models with many examples of each.
• How to create statistical and other visualizations using both the base and ggplot graphics capabilities in R.

About this course

​This course, The Comprehensive Statistics and Data Science with R Course, is mostly based on the authoritative documentation in the online "An Introduction to R" manual produced with each new R release by the Comprehensive R Archive Network (CRAN) development core team. These are the people who actually write, test, produce and release the R code to the general public by way of the CRAN mirrors. It is a rich and detailed 10-session course which covers much of the content in the contemporary 105-page CRAN manual. The ten sessions follow the outline in the An Introduction to R online manual and specifically instruct with respect to the following user topics:

1. Introduction to R; Inputting data into R

2. Simple manipulation of numbers and vectors

3. Objects, their modes and attributes

4. Arrays and matrices

5. Lists and data frames

6. Writing user-defined functions

7. Working with R as a statistical environment

8. Statistical models and formulae; ANOVA and regression

9. GLMs and GAMs

10. Creating statistical and other visualizations with R

Click the ink or image below to access the course contents:
​The Comprehensive Statistics and Data Science with R