Module 21 – Summary & Further Resources

Module 21 marks the conclusion of the course. In this final module, you’ll be provided with a comprehensive recap of the key concepts, techniques, and skills you’ve learned throughout the course. The video lecture serves as a reflective overview, helping you consolidate your understanding of data manipulation using dplyr and the broader tidyverse in R.

While this module wraps up the formal course content, it also points you towards further resources for continued learning. Expanding your knowledge and skills in data manipulation and analysis is an ongoing journey, and these additional resources will help you stay updated with the latest trends, techniques, and best practices in the field.

Video Lecture

Presentation of This Lecture

You may download the presentation of this lecture by clicking here.

Further Resources

• Oscar Baruffa – Big Book of R
• Statistics Globe – Learn R Programming (Tutorial & Examples) | Free Introduction
• Wickham H. & Grolemund G. (2017) – R for Data Science
• Lennert F. (2017) – An(other) introduction to R

 

 

You can access the course overview page, timetable, and table of contents by clicking here.