Introduction to Data Analytics


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Short description

Thanks to "Introduction to Data Analytics" a person will engage with advanced techniques to analyze data and to distinguish a causality link from a simple correlation. We will do it by looking both at the theoretical side and at the most recent application.

Being able to identify causality links represents a crucial skill for a person interested in understanding the data that today's world produces.

The CPD Introduction to Data Analytics teaches students how to apply quantitative methods to conduct causal impact analysis using social data. In particular, students will learn how econometric methods can be used to answer questions related to human behaviour and strategic decision-making with the help of regression based econometric methods.

The module has an applied focus, demonstrating the use of econometric methods used for impact evaluation with practical applications and referring to examples from recent studies that apply those methods to answer key questions in the social sciences.

On successful completion of this module students will be able to:

  • determine which methods can be used to analyse different datasets for addressing different questions of relevance to the social sciences.
  • critically assess findings of studies that apply these methods.
  • design their own randomized experiments.
  • conduct their own causal regression analysis using the statistical software package R.

On successful completion of the CPD, students will receive a Certificate of Completion.

What topics will you cover?

The CPD focuses on applied causal regression analysis providing an understanding of econometric methods for use with big data. In particular, the course covers regression-based evaluation methods to assess the casual relationships between different factors at play.

These include the use of panel data, difference-in-differences estimation, matching and regression discontinuity designs, randomized experiments, and natural or quasi-experiments.

The CPD has an applied focus, demonstrating the use of these methods with practical applications using the statistical software package R and referring to examples from recent studies that apply those methods to answer key questions in the social sciences. 

Who is this course for?

The target learner cohort are people working in the private sector, for example ICT, finance, banking sectors. Participants are expected to have some quantitative experience through prior training e.g. degree or equivalent experience or having taken the CPD Statistical Thinking for Social Data Analysis. Participants should also have access to a laptop with camera and a microphone.

This CPD is part of a programme of Continuous Professional Development in the area of Applied Social Data Analysis that the School of Social Sciences and Philosophy will deliver from Spring 2022. Addressing the scarcity of training in data science in Ireland and co-created with key industry partners, the Applied Social Data Analysis CPD programme trains participants in the fundamental knowledge and skills of social data analysis. The programme goes beyond social data analytics to address causal analysis and consider social issues that are important to industries such as inequality, unemployment, climate change and ethics. This CPD will 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.

Who teaches the course?

Assistant Professor Nicola Fontana, Department of Economics, School of Social Sciences and Philosophy, Trinity College Dublin.

How is the course delivered?

A week-long intensive programme (5 hours a day) commencing Monday, August 29th on campus in Trinity College Dublin.

This will be preceded by 2 hours of preparatory online instruction. Additionally, participants will undertake 20 hours of self-study over the course of the programme and complete a combination of in-class and 1 take home exercise. One additional week will be included for submitting CPD exercises.

Introduction to Data Analytics

One of six new in-person CPD courses offered by the School of Social Sciences & Philosophy. Speaker: Dr. Nicola Fontana

Course Fees

The CPD fee is €1,500.


Registration closing date

August 22nd 2022

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 by selecting which mode of delivery you wish to take (5 consecutive weeks or one week intensive). 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 Mr Shane Fitzgerald at

Enrol Now

Introduction to Data Analytics (Week Long Intensive) Price €1,500
A week-long intensive programme (5 hours a day) commencing Monday, August 29th on campus in Trinity College Dublin.

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Get in Touch

You can contact Shane Fitzgerald, External Relations Manager in the School of Social Sciences and Philosophy at for further details about applying for the module. For further details about the content of the module, you can contact the module lecturer, Dr. Nicola Fontana at