Statistics and Regression Analysis



The Statistics and Regression Analysis course will provide participants with an understanding of key statistical and econometric methods used to analyse social data and how to implement them using the statistical software package R. The CPD overviews key statistical concepts necessary to analyse social data, introduces participants to regression analysis and demonstrates the use of these methods with practical applications. On completing the CPD, participants will be able to:

  • Explain and apply statistical terminology to the analysis of social data.
  • Formulate questions in the language and abstractions of statistics.
  • Solve simple problems related to the topics in the CPD.
  • Conduct their own basic statistical analysis using R.

What Topics will you Cover?

The first part of Statistics and Regression Analysis reviews key statistical concepts necessary to analyse social data, such as graphical and numerical data description; probability theory; discrete and continuous random variables; sampling; confidence intervals; hypothesis testing.

The second part of the CPD introduces participants to basic multiple regression analysis, modelling of non-linear relationships, and dummy variables.

The CPD has an applied focus, demonstrating the use of these methods with practical applications using real world datasets and using the statistical software package R.

Who is this Course For?

Participants are often working in the IT, finance, and banking sectors. This CPD will also be of interest to individuals who wish to progress their careers through acquiring valuable social data analysis skills that are widely sought after in the private, public and non-profit sectors.

Participants are expected to have basic computer skills and some quantitative experience through prior training, such as degree or equivalent experience.

Who teaches the course?

Mr Cian O'Shea, Department of Economics, School of Social Sciences and Philosophy at Trinity College Dublin.

Time, Date, and Place

The CPD will be delivered online over six weeks.

The course will commence on Thursday 15th February and will conclude on Thursday 21st March.

There will be one synchronous one-hour class on Thursdays at 6pm. There will also be three hours of asynchronous material for the first five weeks of the course, incorporating:

  • Five one-hour videos based on the online lecture.
  • Five one-hour tutorials on R programming.
  • One hour of self-study time.

There will be a take-home assignment for the last week, totalling five hours.

On successful completion of the programme, participants will be awarded the Certificate of Completion in Statistics and Regression Analysis. To qualify, participants will need to have completed all required CPD exercises.

For more information, download our brochure:

School of Social Sciences and Philosophy CPD brochure 2024

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Admission Requirements

Participants should have access to a desktop or laptop with camera and a microphone.

Course Fees



Places are limited as class sizes are small, with up to 30 per class, so enroll as soon as possible to secure your place on the course.

You can enroll on the course directly via the PayPal link below. The course fee includes access to the course materials via Blackboard (Trinity’s virtual learning environment) for the duration of the course. 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

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Statistics and Regression Analysis Price €1,500

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Get in Touch

Please contact sspcpd@tcd.iefor further details about applying for the CPD.

For further details about the content of the CPD, you can contact the CPD lecturer, Mr. Cian O'Shea at

Register Your Interest

Register your interest at Trinity College Dublin, the University of Dublin.

As Ireland’s leading university, we offer a wide range of postgraduate programmes at masters, diploma and certificate level.

Trinity is an international university steeped in history, with a reputation for excellence in education, research and innovation.

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