Introduction to Statistical Learning in R
This course offers an introduction to statistics and supervised machine learning. It adopts a problem-to-solution teaching approach, defining a practical problem and illustrating how statistics can enable understanding to make critically informed decisions about a population by examining a random sample. It uses a learning-by-doing approach based on real-world examples in various contexts. This also teaches how to conduct statistical data analysis in R. The course is organised around 6 sessions. Each session is designed to provide a combination of key statistical concepts and practical application through the use of R.
To get started, go to the main course website by clicking here
The course notes are hosted as a GitHub repository and you can access it in a few ways: