Statistics and Regression Analysis

Overview

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Short description

Statistics and Regression Analysis 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 successful completion of 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?

The target learner cohort are participants working in the private sector, for example ICT, finance, banking sectors. Participants are expected to have basic computer skills and some quantitative experience through prior training e.g. degree or equivalent experience. 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?

Mr Ibrahim Kekec, Department of Economics, School of Social Sciences and Philosophy, Trinity College Dublin.

How is the course delivered?

The CPD will be delivered online over 8 weeks (including 2 break weeks).  There will be one synchronous 1-hour class on Thursdays at 18:00.  There will also be 3 hours of asynchronous material for the first 5 weeks:

• 5-hour long videos-based lecture
• 5-hour long R tutorial
• 1-hour long self-study time

There will be a take-home assignment for the last week (5 hours).  The weeks of April 6^th and April 13^th will be break weeks.  In order to be awarded the Certificate of Completion in Statistics and Regression Analysis, participants will need to have completed all required CPD exercises.