Introduction to Data Analytics with R for Wind Energy - Module MS6062

This module will cover an introduction to programming in R and RStudio for professionals working in the wind energy sector, assuming no prior coding experience. 

The actual material to be taught in the course will be very closely aligned to the Prof Dip, and the focus on the wind energy examples can be adjusted depending on student interests. The datasets provided will include, but are not limited to, the wind energy analysis, and students are permitted to bring their own datasets, but this is not required.

If you would like to gain a solid foundation in data analytics in any industry, this is an excellent option where you will learn to examine and evaluate a dataset using statistics and visualisation methods.

The module will cover data wrangling, data visualisation, summarising data, and simple statistical modelling in R. Students will learn about reproducible research, coding and analytics practices and be given an introductory overview of RShiny dashboards for data generated in wind energy applications.

It can be taken as a standalone micro-credential or as part of a pathway to a larger award.