Whether it’s starting from scratch or boosting competence, Statistical Methods for Research will deliver the best possible training in statistics at Masters and PhD levels
Whether your Master’s and PhD students need a course which starts from scratch, or just want more confidence when using statistics, Statistical Methods for Research can meet their needs and covers key areas such as confidence intervals, hypothesis testing and statistical modelling. This programme is targeted at providing students with the statistical skills they need to complete their research reports and to understand and evaluate statistical models. It is based on a highly successful course from the University of Reading which has recorded an average improvement of 125% in student’s performances.
The programme takes a cross-disciplinary approach and is compatible with all major statistics packages such as SPSS, GenStat, Minitab and Stata. It is rich with scenarios, worked examples, practical applications and interactive statistical models and can be supported by optional peer-to-peer and tutor-led activities. Statistical Methods for Research offers a uniquely cost-effective way to access high-quality online training materials designed by world class experts.
Senior Statistician, University of Reading
Master’s students and PhD students who require a foundation course in statistics, covering key areas such as confidence intervals, hypothesis testing and statistical modelling.