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    9 events found.

    • November 2026

      • Thu 12
      SHIDPR

      Interactive Data Applications with Shiny (SHIDPR)

      Interactive Data Applications with Shiny is a practical R Shiny course for researchers focused on building, customising, and deploying interactive web applications from data analyses.

      • Duration: 12 Hours
      • Format: Recorded ‘on-demand’ Format

      £300Registration Fee

      View Details
      28th April 2026 - 29th April 2036

      Interactive Data Applications with Shiny (SHIDPR)

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

      Interactive Data Applications with Shiny is a practical R Shiny course for researchers focused on building, customising, and deploying interactive web applications from data analyses.

      £300.00
      Thu 12
      BMINPR

      Bayesian Modelling Using R-INLA Course (BMINPR)

      Learn Bayesian modelling with the R-INLA package. Build, fit, and interpret INLA models, define priors and latent effects, and apply INLA to real data in a five day course.

      • Duration: 28 Hours
      • Format: Recorded ‘on-demand’ Format

      £480Registration Fee

      View Details
      21st September 2026 - 25th September 2036

      Bayesian Modelling Using R-INLA Course (BMINPR)

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

      Learn Bayesian modelling with the R-INLA package. Build, fit, and interpret INLA models, define priors and latent effects, and apply INLA to real data in a five day course.

      Get Tickets £480.00

    • January 2027

      • Mon 18
      SSTM03

      Spatial and Spatio-Temporal Modelling Using R-INLA (SSTM03)

      Learn spatial & spatio-temporal modelling with R-INLA in R. Practical online training in Bayesian spatial analysis and prediction workflows.

      • Duration: 4 Days, 7 hours per day
      • Next Date: January 18-22, 2027
      • Format: Live Online Format

      £490Registration Fee

      View Details
      18th January 2027 - 22nd January 2027

      Spatial and Spatio-Temporal Modelling Using R-INLA (SSTM03)

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

      Learn spatial & spatio-temporal modelling with R-INLA in R. Practical online training in Bayesian spatial analysis and prediction workflows.

      Get Tickets £490.00

    • February 2027

      • Mon 8
      HGAM01

      Hierarchical Generalized Additive Models for Biological Sciences (HGAM01)

      Learn hierarchical generalized additive models (HGAMs) to analyse nonlinear, hierarchical, and grouped biological data using R.

      • Duration: 4 Days, 5.5 hours per day
      • Next Date: February 8-11, 2027
      • Format: Live Online Format

      £400Registration Fee

      View Details
      8th February 2027 - 12th February 2027

      Hierarchical Generalized Additive Models for Biological Sciences (HGAM01)

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

      Learn hierarchical generalized additive models (HGAMs) to analyse nonlinear, hierarchical, and grouped biological data using R.

      Get Tickets £400.00

    • March 2027

      • Mon 1
      IRAR01

      Building and Deploying Interactive Research Applications and APIs in R (IRAR01)

      Learn to build and deploy interactive research applications and APIs in R using Shiny, Plumber and Quarto. Practical online training for researchers.

      • Duration: 5 Days, 5 hours per day
      • Next Date: March 1-5, 2027
      • Format: Live Online Format

      £400Registration Fee

      View Details
      1st March 2027 - 5th March 2027

      Building and Deploying Interactive Research Applications and APIs in R (IRAR01)

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

      Learn to build and deploy interactive research applications and APIs in R using Shiny, Plumber and Quarto. Practical online training for researchers.

      Get Tickets £400.00

    • April 2027

      • Mon 19
      SPMP03

      Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data (SPMP03)

      Learn spatial multiplexed proteomics data analysis with CODEX, CycIF, and MACSIMA. Master image processing, segmentation, phenotyping, and spatial analysis in R and Python.

      • Duration: 4 Days, 5.5 hours per day
      • Next Date: April 19-22, 2027
      • Format: Live Online Format

      £450Registration Fee

      View Details
      19th April 2027 - 22nd April 2027

      Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data (SPMP03)

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

      Learn spatial multiplexed proteomics data analysis with CODEX, CycIF, and MACSIMA. Master image processing, segmentation, phenotyping, and spatial analysis in R and Python.

      Get Tickets £450.00

    • September 2035

      • Sun 23
      AEDDPR

      Analysing Ecological Data with Detection Error (AEDDPR)

      Learn to analyse ecological field data with detection error using R. Work with point counts, ARU data, N-mixture models, distance sampling and time-removal methods.

      • Duration: 16 hours
      • Format: Recorded ‘on-demand’ Format

      £350Registration Fee

      View Details
      23rd September 2035 - 25th September 2035

      Analysing Ecological Data with Detection Error (AEDDPR)

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

      Learn to analyse ecological field data with detection error using R. Work with point counts, ARU data, N-mixture models, distance sampling and time-removal methods.

      Get Tickets £350.00

    • May 2036

      • Mon 5
      BMSBPR

      Bayesian Statistical Modelling with Stan and brms (BMSBPR)

      Bayesian Statistical Modelling with Stan and brms is an advanced R course for researchers covering Bayesian model building, diagnostics, and interpretation using Stan and brms.

      • Duration: 18 Hours
      • Format: Recorded ‘on-demand’ Format

      £185Registration Fee

      View Details
      5th May 2036 - 6th May 2036

      Bayesian Statistical Modelling with Stan and brms (BMSBPR)

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

      Bayesian Statistical Modelling with Stan and brms is an advanced R course for researchers covering Bayesian model building, diagnostics, and interpretation using Stan and brms.

      Get Tickets £185.00

    • October 2036

      • Sat 25
      DLURPR

      Deep Learning using R (DLURPR)

      Learn deep learning in R using the torch ecosystem. Build MLPs, CNNs and transformer models through hands-on coding and gain practical skills for real research workflows.

      • Duration: 12 hours
      • Format: Recorded ‘on-demand’ Format

      £150Registration Fee

      View Details
      25th October 2036 - 26th October 2036

      Deep Learning using R (DLURPR)

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

      Learn deep learning in R using the torch ecosystem. Build MLPs, CNNs and transformer models through hands-on coding and gain practical skills for real research workflows.

      Get Tickets £150.00

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