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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
Register your interest

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 

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