Those who can perform basic data science tasks in R, but wish to become an expert.
Advanced Data Programming with R
Overview
| Module Code | STAT40830 |
| Module Title | Advanced Data Programming with R |
| Subject Area | Data Science |
| Credits | 5 |
| NFQ | 9 |
| EFQ | |
| Start Date | 19th May 2025 |
| Duration | 12 Weeks |
| Time | N/A |
| Mode of Delivery | Online |
| Course Leader | Isabella Gollini |
| Fee | Full Fee: €875 *Subsidised Fee: €175 *80% fee subsidy available for eligible learners (see below) |
| Application Deadline | 9th May 2025 |
In this module we cover advanced use of R and Rstudio. Topics include:
- Professional graphics through ggplot2
- Advanced function behaviour
- Advanced data processing with R through tidyverse
- Creation of interactive documents and presentations with Rstudio, markdown and knitr
- Creation of interactive applications through shiny
- Creating R packages
By the end of the module students should be have attained considerable mastery in R. They should be able to produce professional quality data analytics and documents via Rstudio which are suitable for use in a business environment.
- Rstudio
- Writing R packages
- The tidyverse
- Advanced functions in R
You will become expert in R, in particular in creating professional quality reports and interactive documents.
Video lectures posted each week that walk though module content, blending theory with example exercises.
Weekly computer labs and homework assignments.
All content delivered using the VLE which includes a monitored discussion forum with topics created for each weeks lecture material and each problem set.
Students must have completed a module in Data Programming with R and be familiar with basic R programming.
Assignments - 90%
Quizzes/short exercises - 10%
Post-assessment group/class feedback will be provided
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.
If you have any questions about this micro-credential, or would like to speak to a UCD staff member, please contact (opens in a new window)microcredentials@ucd.ie.