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Products
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Modern Statistical Thinking for Biologists (dates TBA)
CourseThis course will build up your statistical thinking skills, in a way that does not require lots of maths. We will primarily work with concepts from Bayesian statistics, which beginners often find more intuitive than classical approaches.
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Microcourse: The world's shortest introduction to R (self-paced online)
Course5.0 average rating (7 reviews)Thinking about getting started with R? This free, self-paced video course will get you off the ground!
Free
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Microcourse: Intuitive introduction to P-values and statistical testing (self-paced online)
CourseWhen P = 0.03, are we sure we know what that really really means? This course helps you practice the tricky concept of P-values, and to get an intuition for what P really does and doesn't represent.
Free
Past and ongoing courses
- Modern Statistical Thinking for Biologists (online, February-May 2025)
- Introduction to Bayesian Statistical Modelling (online in collaboration with Instats, January-February 2025)
- Analysis of RNA-seq data (Champalimaud Foundation, Lisbon, November 2024)
- Modern Statistical Thinking for Biologists (online, September-December 2024)
- Introduction to Statistics with Bayesian Methods (online, March-June 2024)
- Introduction to statistics (online for the Institute of Molecular Medicine, Lisbon, January-February 2024)
- Analysis of RNA-seq data (Champalimaud Foundation, Lisbon, November 2023)
- Modern statistical thinking for biologists (online, August-December 2023).
- Analysis of RNA-seq data (online, May-August 2023)
- Analysis of RNA-seq data (online, February-May 2023)
- Introduction to data analysis (Institute of Molecular Medicine, Lisbon, February 2023)
- Analysis of RNA-seq data (Institute of Molecular Medicine, Lisbon, October 2022 - January 2023)
- Analysis of RNA-seq data (online, October-December 2022)
- Introduction to data analysis for biologists (Arabic version; online in collaboration with Egypt Scholars, February-May 2022)
- Introduction to data analysis for biologists (Institute of Molecular Medicine, Lisbon, October-December 2021)