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The Statistics Clinic

Statistics Courses in Cambridge


The University Training website offers various courses on R, Python, SPSS, Stata, etc.

The statistical programming language R can be downloaded from here. Rstudio is a very useful editor for R. It can be downloaded from here. The CRAN contributed documentation page and the R Project documentation page both contain excellent manuals, tutorials, etc. provided by users of R.

Books and Online Resources

  • The Elements of Statistical Learning (T. Hastie, R. Tibshirani and J. Friedman) is an excellent book in the field of statistics, data mining, machine learning and bioinformatics. The emphasis is on concepts rather than mathematics and many examples are given in this book.
  • An Introduction to Statistical Learning (G. James, D. Witten, T. Hastie and R. Tibshirani) provides a broad and even less technical treatment of key topics in statistical learning. Each chapter includes an R lab. This book is appropriate for anyone who wishes to use contemporary tools for data analysis. 
  • STATSREF: Statistical Analysis Handbook is a free, web-based statistical analysis resource. It provides a comprehensive guide to statistical concepts, methods and tools, with many examples being provided using a variety of software tools such as R, MATLAB and SPSS.
  • There are many youtubers who upload short videos explaining statistical concepts and procedures: StatQuest with Josh StarmerDr Nic's Maths and Stats, Brandon Foltz, etc.