
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:
R for Social Data Science introduces participants to the core programming concepts, such as functions, variables, conditions, loops, working with libraries, and interacting with APIs. It also covers data management and visualisation. Best practices in project workflow and version control will also be introduced using Github.
The schedule of topics for the class is as follows:
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, such as a degree or equivalent experience acquired in workplace setting. The target learner cohort are participants working in the private sector, for example ITC, finance, and banking sectors.
Assistant Professor Jeffrey Ziegler, Department of Political Science, School of Social Sciences and Philosophy at Trinity College Dublin.
The course will be delivered online over eight weeks. Participants will engage with the material in a hands-on environment, which will include coding homework / exercises throughout the CPD.
On successful completion of the CPD, students will receive a Certificate of Completion. 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.
For more information, you can download our Course Brochure.
You can enroll on the course directly via the PayPal link here.
| Location Postcode | Dublin 2 |
| Course Category | IT Data Analytics, Computers & IT (Information Technology) |
| Course Type | Online Learning |
| Course Duration | The course runs from Tuesday 13th February to Thursday 11th April. Registration for this course closes on Tuesday 6th February. |
| Course Time | There will be two 1.5-hour sessions each week on Tuesday and Thursday evenings from 6pm-7:30pm. |
| Course Fee | 1,500 |



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