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Introduction to Data Analysis

Title: Introduction to Data Analysis

Date(s): 17 - 18 January 2011

Main Venue:
Trinity Centre for Health Sciences
Trinity College Dublin, St James's Hospital, Dublin 8

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Online Application Period: Course oversubscribed - applications closed

 Read a report of the Introduction to Data Analysis Course here

Due to enormeous interest for this course, online applications have closed early

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This intensive 2-day practical, hands-on course for researchers in biological and clinical science is designed to provide an overview of data types, simple statistical analysis techniques, and study design, with particular emphasis on the assumptions underlying these techniques. No formal training in data analysis or statistics is required. Some prior exposure to the design of experiments and the analysis of experimental results would be an advantage.

Please note that there are a limited number of places available.

On completion, students will have acquired an understanding of the following areas:

  • Organisation and presentation of data
  • Statistical nomenclature and notation
  • Concepts of centrality and spread
  • The binomial and normal distributions
  • Point estimation and hypothesis testing
  • Parametric and non-parametric hypothesis tests
  • Effect size and statistical power
  • Statistical significance
  • The concepts of correlation and regression

Students should be able to apply these concepts intelligently in practical research applications such as the design of experiments and the analysis of results.


MCQ and case-study. The MCQ will reflect the entire course content. Students will select a case-study most relevant to the data they work with.

The MCQ examination will take place at 1400-1500 on Monday 24 January 2011 in the Trinity Centre for Health Sciences, St James's Hospital, Dublin 8. Please ensure that you are free and able to attend at this time.

This course is accredited by Trinity College Dublin (2.5 ECTS); participants based in other institutions who require credits to fulfil graduate programme requirements should consult with their research supervisor and/or graduate studies office in order to confirm whether this course is recognised.

 Course Fees

  • MMI Partner Institutions:
    Postgraduate student, postdoctoral researcher, or member of staff in NUI Galway, RCSI, TCD, UCC, UCD and affiliated hospitals: Free of charge
  • Other Institutions:
    Academic Rate:  200 Euros
    Non-academic rate: 900 Euros

The registration charges do not include accommodation or travel. Please contact for further information


Day 1: Mon 17 Jan; 0915-1730
0915 Descriptive Statistics 1
1015 Break out Session 1
1030  Coffee/Tea
1100 Descriptive Statistics 2
1200 Study Design
1300 Lunch
1400 Hypothesis Testing 1
1500 Coffee/Tea
1515 Lab-based practical session using Minitab 

Day 2: Tue 18 Jan; 0915-1730
0915 Hypothesis Testing 2
1015 Break out Session 2
1030  Coffee/Tea
1100 One-Way ANOVA
1200 Break out Session 3
1230 Correlation
1300 Lunch
1400 Regression
1500 Coffee/Tea
1515 Lab-based practical session using Minitab 

Course Faculty

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Dr Eleisa Heron (Institute of Molecular Medicine & TCD)

Dr Eleisa Heron is a lecturer in Biostatistical Genetics in the Neuropsychiatric Genetics Research Group in the Dept of Psychiatry in Trinity College Dublin. Dr. Heron obtained BA and MSc degrees in mathematics and a PhD in statistics from Trinity College Dublin before undertaking postdoctoral research in the Dept of Statistics at the University of Warwick, UK. Dr. Heron's research interests lie in applied biostatistics with emphasis on applications in medicine and genetics and also in the use of Bayesian statistical modelling.

Dr Ricardo Segurado (Institute of Molecular Medicine & TCD)

Dr Ricardo Segurado is a Health Research Board Postdoctoral Research Fellow in the Bioinformatics and Biostatistics unit, Department of Psychiatry, Trinity College Dublin. His background is in molecular biology, and he has postgraduate training in Statistics. He has worked in the area of statistical genetics for the past 5 years, has consulted on statistics for a wide range of medical research projects, and previously taught an introductory statistics module on the MSc in Genetic Epidemiology and Bioinformatics in Cardiff University.

Dr Carlos Pinto (Institute of Molecular Medicine & TCD)

Dr Carlos Pinto is the Data Systems Manager in the Neuropsychiatric Genetics Research Group in the Department of Psychiatry and Research Fellow in the Bioinformatics and Biostatistics Unit within the Group. He also acts as the Data Manager for the National Childrens Research Centre. His background is in theoretical physics and his current research interests are in novel data analysis methods for large scale genetic data sets.

Course Sponsors

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