I have attended six different courses organised by PR Stats. When I was midway through my PhD it was apparent that statistical ecological science was inevitably evolving faster than the knowledge of some of my university tutors. Attending courses with PR Stats became a vital fundamental way of learning advanced statistical and spatial analysis. Since then, I have continued attending courses covering new material, mixed effects models, Bayesian statistics, and including recently introduced R packages and their functionality. The courses have also given me exposure to some world leaders in their field. I have appreciated discussing with them different modelling approaches, which have been informative for my research. I can count four of my published papers as having been directly influenced by courses from PR Stats. My most recent work benefitted from modelling advice on sample design and model accuracy evaluation and can be seen here.

Carlos P.E. Bedson

Quantitative Spatial Ecology, Ecology and Environment Research Centre, Manchester Metropolitan University, United Kingdom

Courses attended

ADVR08, ENMR03, BMIN02, ISBD01, BADA01, SDMB06

PRStats offers a great lineup of courses on statistical and analytical methods that are super relevant for ecologists and biologists. My lab and I have taken several of their courses—like Bayesian mixing models, time series analysis, and machine/deep learning—and we’ve found them very informative and directly useful for our work. I often recommend PRStats to my students and colleagues as a great way to brush up on or learn new R-based statistical skills.

Rolando O. Santos

PhD Assistant Professor, Florida International University

Courses attended

SIMM05, IMDL03, ITSA02, GEEE01 and MOVE07