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Data Programming with R

Overview

Module Title Data Programming with R
Subject Area Data Science
Credits 5
NFQ 9
EFQ  
Start Date 8th September 2025
Duration 12 Weeks
Mode of Delivery Online
Course Leader Isabella Gollini
Fee

Full Fee: €900

*Subsidised Fee: €180

80% Fee Subsidy For Eligible Learners (See Below)

Application Deadline

29th August 2025

Register your interest: (opens in a new window)microcredentials@ucd.ie 

This module introduces students with no previous programming experience to the open-source statistical programming language R. Topics include: manipulating vectors, matrices, arrays and lists; basic programming constructs and programme flow; graphical methods; dealing with large data sets; simple statistical methods.

Aspiring Data Scientists or other professionals who wish to learn how to programme using the popular R language. 

At the end of the course students should be able to use R to:

  • Load in and manipulate data sets of any size and structure
  • Find help and use functions which they have not met before
  • Create professional quality graphical summaries of data
  • Perform simple statistical analyses

Basics of R programming, Rstudio, scripts in R, functions, plotting and graphics, data analysis, manuals and help functions. 

You will become proficient in the use of R for data science and related tasks. You will learn the basics of R as well as how to self-teach towards mastery.

Weekly video lecture and screencast material, non-assessed lab sheets.

Learning Requirements:
Students must have had previous experience of using computers, including web searching and creating spreadsheets.

Learning Recommendations:
Some familiarity with Microsoft Office (or equivalent), programming concepts such as loops and functions.

Quizzes/Short exercises – 10%
During term assignments – 40%
End of trimester assignment – 50%

  • Feedback individually to students, post-assessment
  • Group/class feedback, post-assessment
  • Online automated feedback

Prof Cert in Data Science.

Please note: Learners can avail of only one form of funding per application. 

Micro-Credentials Learner Fee Subsidy-Human Capital Initiative Pillar 3

The HCI Pillar 3 Micro-credential Learner Fee Subsidy has been introduced to enable more learners to address critical skills gaps and engage with lifelong learning through micro-credentials. The HCI Pillar 3 Micro-credential Learner Fee Subsidy is funded by Higher Education Authority (HEA) and the Department of Further and Higher Education, Research, Innovation and Science. 

HCI Micro-credential Learner Fee Subsidies are available on identified micro-credentials only and in fixed numbers from March 2024 until October 2025.  

Please see Eligibility Criteria for further information.    

On successful completion of this micro-credential, you will receive credits as per the European Credit and Transfer System. These credits are recognised by the awarding institution as credits aligned to learning completed at postgraduate level.