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I provide data analysis services, consultations, and tailored courses using the R software environment.

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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.

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Introductory and advanced courses in applied statistics with R

Suggested course modules:

  • My on-line course “First steps in data analysis with R”, available on the Udemy platform.
  • From zero to hero (four-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, and more.
  • Introduction to generalised linear models (one-three days): learn to analyse non-normally distributed data such as count data and success ratios. It requires having taken my on-line course, or my From zero to hero in-person course, or having the corresponding knowledge of linear models.
  • Introduction to mixed-effect models (one-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). It requires understanding and operational knowledge of general and generalised linear models in R.

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Contact me for details and prices.