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Overview
The Statistics and Regression Analysis course from Trinity College Dublin 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.
Programme Structure
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 familiazrizez 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.
Audience
Mr Cian O'Shea, Department of Economics, School of Social Sciences and Philosophy at Trinity College Dublin.
Key information
Duration
- Part-time
- 2 months
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
Language
English
Delivered
Online
Disciplines
Statistics Data Analytics View 4 other Short Courses in Data Analytics in IrelandAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- 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.
Technological requirements
Participants should have access to a desktop or laptop with camera and a microphone.
Tuition Fee
To always see correct tuition fees
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International
1500 EUR/fullTuition FeeBased on the tuition of 1500 EUR for the full programme during 2 months. -
EU/EEA
1500 EUR/fullTuition FeeBased on the tuition of 1500 EUR for the full programme during 2 months.
Funding
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