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Essential Data Analysis

  • Key information

    Course length
  • Part Time,
  • Entry requirements

    Prior knowledge of fundamental aspects of Statistics such as mean, standard deviation and confidence intervals is essential.

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 statistics@herts.ac.uk.

Course fees

Dates can be organised if an organisation have a group of people wanting to take this course.

£TBA