This course is for analysts who need to make decisions based on data. This course is for users that have a little experience with R: The Statistical Programming Language. R is a powerful open source programming language that is widely used for analyses of all kinds. R also has extensive graphical capabilities.
The course combines two elements: data visualisation (graphics), and statistical hypothesis testing (decision-making).
The data visualisation part is designed to cover a range of graphical methods, including:
- Histograms
- Density plots
- QQ plots
- Bar charts
- Single series charts
- Multiple series charts (stacked and unstacked)
- Box-whisker plots
- Scatter plots
- Lines of best-fit
- Multivariate scatter plots
- Exporting graphics
The hypothesis testing part is designed to cover the basic analytical decision-making tools that underpin statistical analysis. Topics include:
- Testing data distribution (normal distribution)
- Differences tests:
- t-test for normally distributed data
- U-test for nonparametric data
- Correlation
- Association tests:
- Chi-Squared test for association
- Goodness of Fit tests
- Analysis of Variance (ANOVA) for testing of multiple samples
- Regression modelling
Who needs this course?
This course is for people who need to handle data and make decisions based on those data. Some knowledge of R would be helpful but no special knowledge of statistics is needed.
If you have any queries please email: WISERD.events@cardiff.ac.uk or telephone: 029 2087 5260