Essential Data Analysis
About the course
This course is about the classical methods of analysing data.
This course is aimed at those who need to compare and contrast groups and examine relationships within their data.
The topics covered in this course are one and two-sample hypothesis tests, one-way analysis of variance (ANOVA), non-parametric analyses, chi-square test of independence, measures of association between variables (e.g. phi, gamma, Cramer’s V, correlation), regression (including simple and multiple linear regression, dummy variables and model building). These topics will be demonstrated using Excel and SPSS.
See our full range of courses at http://go.herts.ac.uk/sscu or contact the course organiser, Prof Neil Spencer, at email@example.com.
Dates can be organised if an organisation have a group of people wanting to take this course.