Overview
R can be used for statistical computing and graphics. It is a full-featured, open-source programming language that can be used for data analysis, statistical modelling, and visualization. It has an extensive library of packages that can be used to generate sophisticated graphs and charts, perform advanced analyses and even develop interactive applications. R is also widely used in the industry to create predictive models and analyze large datasets.
Curriculum
Curriculum
- 8 Sections
- 0 Lessons
- 4 Weeks
- Intro to R/R studio, explanation of interface, key statistical ideas, calculations, operators, introduction to variable assignment.0
- Recap, introduction to variable assignment, Variables, Variable types, vectors0
- Matrices, data types, logical operators0
- Functions, Numerical functions, Statistical functions0
- Big topic, data frames0
- Data frames continued0
- Plotting and data visualisation of data, Key statistical concepts such as normal distributions, densities covered0
- Summarisation and test0