Principles of effective visual communication, moving from default charts to publication ready graphics with ggplot2 and modern tidy workflows.
Selecting appropriate methods for real datasets, with worked examples in regression diagnostics, categorical analysis, and reporting uncertainty.
Stratified, cluster, and multi stage sampling in practice. How survey design choices propagate into variance estimates and policy relevant conclusions.
A side by side, hands on session for health researchers: cleaning routine data, running common models, and producing reproducible outputs in both R and Stata.
Recent developments and practical choices in GLMs for clinical and epidemiological data, including link function selection, overdispersion, and model checking.
A practical introduction to Python for data analysis — NumPy, pandas, and visualisation — tailored for officers working with administrative and operational data.
An applied workshop on SPSS for survey and policy data: descriptive summaries, cross tabulation, significance testing, and reproducible reporting for senior course participants.
A hands on SPSS session for graduate students and researchers, focused on turning raw survey responses into defensible, well presented findings.
I am open to guest lectures, short workshops, and departmental sessions.