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
Understand the data behind the science
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
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Duration: 3 Days, 3 hours per day
Next Date: November 9-11, 2026
Format: Live Online Format- Duration: 4 Days, 3 hours per day
- Next Date: November 9-12, 2026
- Format: Live Online Format
- Duration: 5 Days, 5 Hours per Day
- Next Date: November 9-13, 2026
- Format: Live Online Format
- Duration: 2 Days, 3 hours per day
- Next Date: November 17 - 18, 2026
- Format: Live Online Format
- Duration: 5 Days, 5 Hours per Day
- Next Date: November 23-27, 2026
- Format: Live Online Format
- Duration: 4 Days, 3 hours per day
- Next Date: November 30 - December 3, 2026
- Format: Live Online Format
Designing Effective Research Posters (DERP01)
Learn how to design clear, engaging research posters using effective layouts, data visualisation, and scientific communication principles.
£125Registration Fee
View DetailsDesigning Effective Research Posters (DERP01)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomLearn how to design clear, engaging research posters using effective layouts, data visualisation, and scientific communication principles.
RNA-Seq Analysis (RNAA02)
RNA-Seq analysis training – live online course covering experiment design, data QC, alignment, gene expression, DESeq2 differential expression, PCA, visualisation, and functional analysis.
£350Registration Fee
View DetailsRNA-Seq Analysis (RNAA02)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomRNA-Seq analysis training – live online course covering experiment design, data QC, alignment, gene expression, DESeq2 differential expression, PCA, visualisation, and functional analysis.
Genome-Wide Association Studies (GWAS) for Evolutionary Biology (GWAS01)
GWAS for Evolutionary Biology: learn genome-wide association studies, quantitative trait analysis & genomic methods for evolutionary data.
£400Registration Fee
View DetailsGenome-Wide Association Studies (GWAS) for Evolutionary Biology (GWAS01)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomGWAS for Evolutionary Biology: learn genome-wide association studies, quantitative trait analysis & genomic methods for evolutionary data.
Introduction to Spatial Data analysis and GIS Workflows in R (IRGI01)
Learn spatial data analysis and GIS workflows in R. Practical online training in sf, tmap, mapping, and spatial data processing.
£250Registration Fee
View DetailsIntroduction to Spatial Data analysis and GIS Workflows in R (IRGI01)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomLearn spatial data analysis and GIS workflows in R. Practical online training in sf, tmap, mapping, and spatial data processing.
Ancient Environmental Metagenomics (AEMG01)
Ancient Environmental Metagenomics: learn bioinformatics workflows, taxonomic profiling, and genomic analysis of ancient environmental DNA.
£400Registration Fee
View DetailsAncient Environmental Metagenomics (AEMG01)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomAncient Environmental Metagenomics: learn bioinformatics workflows, taxonomic profiling, and genomic analysis of ancient environmental DNA.
Introduction to Snakemake (SNKM03)
Learn Snakemake to automate data workflows. Build reproducible, scalable pipelines for research with hands-on training in this 4-day live online course.
£350Registration Fee
View DetailsIntroduction to Snakemake (SNKM03)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomLearn Snakemake to automate data workflows. Build reproducible, scalable pipelines for research with hands-on training in this 4-day live online course.
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