Data analysis and statistical consultancy

I can help both academics and companies to define their research questions, analyse their data, and turn numbers into understandable, communicable results.

Introductory and advanced courses in applied statistics with R

Suggested course modules:

  • From zero to hero (five days): learn to read data in R, extract summary statistics, visualise data, and analyse normally-distributed data with t-tests, ANOVA, linear regression, ANCOVA.
  • Introduction to generalised linear models (two/three days): learn to analyse non-normally distributed data such as count data and success ratios.
  • Introduction to mixed-effect models (two days): mixed-effect models (MEM) are powerful tools to discern signal from noise in “dirty” study designs – namely, most real-life scenarios. You will learn to estimate the effect of your predictors of interest (“fixed” effects) while accounting for other variables that explain some of the background variability (“random” effects).

Contact me for details and prices.