Course description
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.
Upcoming start dates
Suitability - Who should attend?
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.
Training Course Content
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.
Course delivery details
Time, Date, and Place
The CPD will be delivered online over six weeks.
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.
Why choose Trinity College Dublin
Ireland's Leading University
Inspiring Generations Since 1592, to Meet Challenges of the Future
20,000 Students
Expenses
Course Fees: €1,500
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