Overview
Short description
R for Social Data Science will introduce participants to basic computer programming skills for social data analysis. In particular, it will introduce participants to the R programming language, which is an open-sourced and cross-platform tool for statistical analysis. The aim is for participants to acquire basic programming skills.
On successful completion of this module students will be able to:
- Describe basic programming terminology, structures, and conventions.
- Demonstrate familiarity with the R programming language, including the ability to write, execute and debug scripts for social data analysis.
- Design project workflows through GitHub
- Perform data wrangling and visualization tasks using R.
On successful completion of the CPD, students will receive a Certificate of Completion.
What topics will you cover?
R for Social Data Science introduces participants to the core programming concepts e.g., functions, variables, conditions, loops, data structures, working with libraries, interacting with APIs. It also covers data management and visualization. Best practices in project workflow and version control will be introduced using Github. Participants will engage with the material in a hands-on environment, which will include coding homework/exercises throughout the CPD.
Who is this course for?
The CPD is designed for participants with interest, but no basic prior experience in computer programming. Participants are expected to have some background in quantitative research methods e.g. degree or equivalent experience acquired in workplace setting. The target learner cohort are participants working in the private sector, for example ITC, finance, banking sectors. Participants should also have access to a laptop or desktop with camera and a microphone for online classtime.
Who teaches the course?
Assistant Professor Jeffrey Ziegler, Department of Political Science, School of Social Sciences and Philosophy, Trinity College Dublin.
How is the course delivered?
The course will be delivered online over 8 weeks with two 1.5-hour sessions each week (1.5 hours X 2 days X 8 weeks). The classes will be on Tuesdays and Thursdays from 18:00-19:30. There will also be one hour of asynchronous material. There will be a 1 week break the week of March 6th. In order to be awarded the Certificate of Completion for R for Social Data Science, participants will need to have completed all required CPD exercises.
R for Social Data Science
One of six CPD courses offered by the School of Social Sciences & Philosophy.
Course Fees
The CPD fee is €1,500.Apply
Start date
February 14th
End date
April 13th
Registration closing date
February 13th
How do I register and pay for the course?
Places are limited as class sizes are small, up to 30 per class so you can enrol now to secure your place or send us an enquiry if you have any questions.
You can enrol on the course directly via the PayPal link below. The course fee of €1,500 includes access to the course materials via Blackboard (Trinity’s Virtual Learning Environment) for the duration of the course. Please note that participation in this CPD course does not include access to the Trinity Library or any other student services (including a student identity card). For employers wishing to pay for employees' registration via invoice, please contact sspcpd@tcd.ie
Enrol Now
R for Social Data Science - €1,500
Get in Touch
Please contact sspcpd@tcd.ie sspcpd@tcd.iefor further details about applying for the module. For further details about the content of the module, you can contact the module lecturer, Dr Jeffrey Ziegler at zieglerj@tcd.ie
Register Your Interest
Register your interest at Trinity College Dublin, the University of Dublin.
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