Dear all, Whether you're cleaning complex datasets, building reproducible analyses, developing your own R packages, or exploring the latest AI tools, mastering R can dramatically improve the quality and efficiency of your research. This July, Physalia is offering a series of live, hands-on online courses designed to help researchers and data scientists strengthen their R programming and statistical analysis skills. Upcoming Courses - Advanced Multivariate Modelling in R (GLLVMs) https://www.physalia-courses.org/courses-workshops/gllvm/ online, 7–10 July Learn modern statistical approaches for analysing complex multivariate ecological and biological data. - Dealing with Messy Data in R https://www.physalia-courses.org/courses-workshops/messy-data/ online, 13–15 July Transform untidy, inconsistent datasets into clean, analysis-ready data using efficient R workflows. - Time-series Analysis and Forecasting in R https://www.physalia-courses.org/courses-workshops/time-series-in-r/ online, 20–24 July Model, visualise, and forecast temporal data using powerful statistical methods and R packages. - Reproducibility with R https://www.physalia-courses.org/courses-workshops/r-reproducibility/ online, 20–23 July Build transparent, reproducible workflows using Quarto, Git, project management, and workflow automation. - Developing R/Bioconductor Packages https://www.physalia-courses.org/courses-workshops/r-packages/ online, 27–31 July Learn how to create, document, test, and distribute professional R and Bioconductor packages. - Integrating LLMs into R Workflows https://www.physalia-courses.org/courses-workshops/llms-4-r-fsbi/ online, 4 August Discover how AI and Large Language Models can assist with coding, documentation, data exploration, and reproducible research—all from within R. We look forward to learning with you this summer! Best wishes, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info@physalia-courses.org (to subscribe/unsubscribe the EvolDir send mail to evoldir@evoldir.net)