Centre for Applied Statistics
The Centre for Applied Statistics Courses (CASC) provide short courses in research methods and statistical analyses for anyone wanting to interpret or undertake their own research. Courses are available in a self-paced format on the UCL Extend platform as listed below, or frequently in a face-to-face format (see website for details). Extensive notes are provided with all self-paced courses, as well as short lecture videos interspersed with practical examples. Interactive activities are included throughout to ensure that everyone has understood the key principles.
Courses
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A Guide to Assessing Measurement Reliability and Validity
Self-paced online course offering an introduction to the principles, methods of assessment, and the appropriateness of statistical analyses for different types of measurement validity and reliability.
Cost: £75.00
Combining Studies: Practical Meta-Analysis for Beginners
Self-paced online course which provides an overview of meta-analysis from a statistician's point of view.
Cost: £75.00
Critical Appraisal: Assessing Research Quality and Evidence
Self-paced online course which teaches you how to critically appraise research papers.
Cost: £75.00
Excel-Based Methods for Power Analysis and Sample Size Calculation
Self-paced online course which covers the basics of sample size estimation
Cost: £87.50
Foundations of Data Analysis with R
Self-paced online course aimed at researchers who want to learn how to use the statistical software R to conduct statistical analysis.
Cost: £100.00
Foundations of Research Design and Data Science
Self-paced online course providing a comprehensive introduction to research methods and statistics. Learn about study design, data types, graphs, and choosing and interpreting statistical tests.
Cost: £375.00
Foundations of Statistical Modelling and Linear Regression
Self-paced online course which provides an overview of regression types, looks into the application of multiple linear regressions and focuses on the theory behind regression analysis.
Cost: £75.00
Introduction to Statistics in R
Self-paced online course which introduces you to the fundamental principles of statistics and ways of conducting your own analysis, including significance tests and linear regression techniques.
Cost: £375.00
Statistical Modelling and Classification of binary outcomes with Logistic Regression
Self-paced online introductory course on logistic regression; a common analysis technique for binary data used across the natural and social sciences.
Cost: £75.00
Understanding and Handling Missing Information in Datasets
Self-paced online course examining the problem of missing data in research studies in detail. Reasons and different types of missing data are discussed, as well as bad and good methods of dealing with them.
Cost: £75.00
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