BIOL33031/BIOL65161
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  • Intro session
    • Why we need statistics
    • R and RStudio
    • Welcome to the tidyverse
    • The Open Science movement
    • ๐Ÿ“ Practical: Introduction
  • 1 - Introduction to Data
    • Data wrangling
    • Summary statistics
    • Data representation
    • ๐Ÿ“ Practical: R Data Wrangling and Visualisation
  • 2 - Classical statistical tests
    • Hypothesis testing
    • t-tests
    • Chiยฒ & Fisherโ€™s exact tests
    • Exploring correlations
    • ๐Ÿ“ Practical: Classical statistics in R
  • 3 - Linear modelling
    • Linear modelling
    • ๐Ÿ“ Practical: Linear modelling
  • 4 - Mixed effects models
    • Mixed-effects modelling
    • ๐Ÿ“ Practical: Mixed effects modelling
  • 5 - Other models
    • Generalised linear modelling
    • Random forest models
    • ๐Ÿ“ Practical: Generalised linear models and Random Forests
  • Quarto
    • Crash-course in Quarto

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  • BIOL65161

BIOL33031/BIOL65161 Home page

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BIOL33031/BIOL65161

BIOL33031

Welcome to BIOL33031: Reproducible Data Science.
This unit introduces you to reproducible approaches for data science in the life sciences. You will learn to use R and RStudio, develop skills in data handling, visualisation, and statistical analysis, and apply tidyverse workflows to biological data. The focus is on making analyses transparent, repeatable, and well-communicated, preparing you for advanced projects and research.

Dr Danna Gifford (Unit Coordinator) โ€” danna.gifford@manchester.ac.uk

BIOL65161

Welcome to BIOL65161: Statistics and Experimental Design

Here attached is a guide to the unit (itโ€™s prepared with Andreas Prokop, so orientated towards people on the Life Sciences masters programmes) BIOL65161_timetable_canvas.pdf

We will be adding content to Canvas as the course develops. In the meantime, do take a look at whatโ€™s already here.

Dr Chris Knight (Unit Coordinator) โ€” chris.knight@manchester.ac.uk