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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

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!

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PR stats instructors are leading experts in their field

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

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TMAP02

Spatial Data Visualisation and Mapping using TMAP (COURSE FULL)

Spatial Data Visualisation and Mapping using TMAP (COURSE FULL)

Visualise spatial data in R using the tmap package. Learn to create static and interactive maps, customise layouts, and publish high-quality visualisations.

  • Duration: 5 Days, 5 hours per day
  • Next Date: November 10-14, 2025
  • Format: Live Online Format

£450Registration Fee

View Details

Spatial Data Visualisation and Mapping using TMAP (COURSE FULL)

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Visualise spatial data in R using the tmap package. Learn to create static and interactive maps, customise layouts, and publish high-quality visualisations.

VSED01

Visualizing Spatial Ecological Data (COURSE FULL)

Visualizing Spatial Ecological Data (COURSE FULL)

Learn to visualise spatial ecological data in R. Explore remote sensing, species distributions, temporal patterns, and colour-safe scientific graphics.

  • Duration: 5 Days, 8 hours per day
  • Next Date: November 17-21, 2025
  • Format: Live Online Format

£480Registration Fee

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Visualizing Spatial Ecological Data (COURSE FULL)

Delivered remotely (Portugal) , Portugal

Learn to visualise spatial ecological data in R. Explore remote sensing, species distributions, temporal patterns, and colour-safe scientific graphics.

ISDA01

Introduction to Spatial Data Analysis (COURSE FULL)

Introduction to Spatial Data Analysis (COURSE FULL)

Learn spatial data analysis in R with this 5-day live online course. Covers vector and raster data, CRS, spatial joins, autocorrelation, interpolation, variograms, spatial regression, and reproducible workflows.

  • Duration: 5 Days, 6 hours per day
  • Next Date: November 17-21, 2025
  • Format: Live Online Format

£450Registration Fee

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Introduction to Spatial Data Analysis (COURSE FULL)

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Learn spatial data analysis in R with this 5-day live online course. Covers vector and raster data, CRS, spatial joins, autocorrelation, interpolation, variograms, spatial regression, and reproducible workflows.

Sold Out £450.00
APCD01

Analysis of Avian Point-Count Data in the Presence of Detection Error

Analysis of Avian Point-Count Data in the Presence of Detection Error

Analyse bird point-count data in R. Learn N-mixture, time-removal, and distance sampling models.

  • Duration: 3 Days, 4 hours per day
  • Next Date: November 18-20, 2025
  • Format: Live Online Format

£300Registration Fee

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Analysis of Avian Point-Count Data in the Presence of Detection Error

Delivered remotely (United Kingdom) Western European Time, United Kingdom

Analyse bird point-count data in R. Learn N-mixture, time-removal, and distance sampling models.

Get Tickets £300.00
SCRN01

Single cell RNA-Seq analysis

Single cell RNA-Seq analysis

Learn single cell RNA-Seq analysis with Seurat, 10x Genomics, and advanced QC methods. Gain cell type-specific insights in this live online course.

  • Duration: 4 Days, 3.5 hours per day
  • Next Date: November 24 - 27 2025
  • Format: Live Online Format

£350Registration Fee

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Single cell RNA-Seq analysis

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Learn single cell RNA-Seq analysis with Seurat, 10x Genomics, and advanced QC methods. Gain cell type-specific insights in this live online course.

Get Tickets £350.00

ZIMR01

Zero-Inflated Models (COURSE FULL)

Zero-Inflated Models (COURSE FULL)

A one-day live online course on zero-inflated models in R. Learn to model count data with excess zeros using ZIP, ZINB, and hurdle approaches, plus model diagnostics and interpretation.

  • Duration: 1 Days, 6 hours per day
  • Next Date: December 1, 2025
  • Format: Live Online Format

£150Registration Fee

View Details

Zero-Inflated Models (COURSE FULL)

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

A one-day live online course on zero-inflated models in R. Learn to model count data with excess zeros using ZIP, ZINB, and hurdle approaches, plus model diagnostics and interpretation.

Sold Out £150.00

Testimonials

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

Testimonials

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

Testimonials

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

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