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Online courses in Applied Statistics, Genomics, Bioinformatics, Ecology and Social Sciences

Learn from leading experts, over 350 courses delivered since 2014 across 60 diverse subjects

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Understand the data behind the science

PR Stats delivers cutting-edge courses in Statistics, Genomics and Bioinformatics, designed by researchers for researchers, equipping you with the tools to tackle real-world data, publish with confidence, and push the boundaries of your field!

Expert-Led Training

PR Stats instructors are leading experts in their field

Live and recorded access

PR Stats offers live online courses and recorded courses

Beginner - Advanced

PR Stats offers courses for the complete beginner upto more advanced courses

Discuss your own data

PR Stats encourages you to bring and discuss your own data

Testimonials

PR Stats 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 PR Stats 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

Testimonials

PR Stats provided excellent training in stable isotope analysis through the SIMMPR course, which was incredibly valuable for my research. I was fortunate to attend the course through a generous fee waiver, which directly supported my work and enabled me to develop skills that contributed to my recent publication on reservoir food webs in Sri Lanka. I’m very grateful for the opportunity and support, and would highly recommend their courses to others working in ecological research.

Subodha Silva

Aquatic Ecology Researcher

Courses attended

SIMMPR

Testimonials

PR Stats has become an invaluable part of developing my skills in advanced statistical and spatial analysis. Through training in areas such as Bayesian statistics and Species Distribution Modelling, I’ve gained both practical expertise and exposure to leading experts in the field. The impact on my research has been significant with at least four of my published papers have been directly influenced by PR Stats courses. 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

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