Introduction to Data Analytics with R for Wind Energy - Module MS6062 Programme content
Learn about reproducible research, coding and analytics practices, and be given an introductory overview of RShiny dashboards.
Key information
EU fees per year
€1,250
Non-EU fees per year
€1,250
NFQ Level
NFQ Level 9
Duration
Six weeks
Attendance
Part-time
Delivery
Online
Start date
Autumn 2026
Award
University Certificate of Study
Course code
MS6062
On successful completion of this module, students will be able to
- Demonstrate proficiency in standard programming constructs in R and RStudio.
- Examine and evaluate a dataset through visualisation methods.
- Summarise data using appropriate summary statistics.
- Develop a pipeline to visualise, summarise, and model data.
- Apply reproducible coding practices to wind energy datasets.
- Develop interactive visualisation tools for dissemination. Synthesise information across the data analytics pipeline for decision-making.
- Formulate a well-constructed rationale to defend and justify the analytics approaches adopted.
- Display a professional commitment to reproducible data analytics practices.
Key Information:
This micro-credential will be delivered online over 6 weeks.
You will be assessed using continuous assessment methods.
Part-time considerations:
Designed for working professionals
Evening or recorded lectures
Additional prep and group work time
Timetable provided after registration