Schedules will be presented here soon.
Covers linear and generalized linear regression models, model validation, diagnostics, and Poisson regression with hands-on exercises in R.
Introduces the concept of uncertainty, general visual techniques, and creative methods for representing uncertainty in spatial data using R.
Turn standalone code into shareable packages. Learn about usethis, devtools, roxygen2, testing with testthat, and Git/GitHub integration.
Covers tidyverse time series manipulation, ggplot2 visualising patterns, and applying statistical forecasting models with fable.
This workshop has been cancelled.
Integrate fast C++ code seamlessly with R for linear algebra, maximum likelihood estimation, and Gibbs sampling exercises.
Build reproducible academic documents, code-integrated slide decks, bibliographies, and outputs in HTML and PDF formats.
Covers core graphic design principles, cognitive load, visual hierarchies, and a practical process for building better scientific figures.
Covers reasons for visualising data, practical chart guidelines, and examples of good vs. poor visualisations.
Explores motivations behind Closeread design, lessons from the Posit contest, and upcoming R/Python integrations.
Evaluates "learning to learn", reframing assessments, and fostering self-regulated learning skills alongside GenAI.
Showcases tools like teleport, Comment Viewer, Unilur, and gamified ggplot2 tools born out of efficient problem-solving.
Introduces a tidy method for managing preferential datasets and ranking manipulations via the prefio R package.
Introduces a new ggplot extension to prevent false statistical conclusions when visualising uncertainty.
Explores open-source software, research software engineering, reproducibility research, and statistical package design.
Covers challenges in reviewing research code and evaluates a peer code review pilot within the ACEFA community.
Navigating stakeholder expectations, building team credibility, and developing robust infrastructure within government.
Insights from re-developing the data pipeline for the Mayi Kuwayu Study on Aboriginal and Torres Strait Islander wellbeing.
A summary of the day and local data analysis space overview.