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Data analysis & visualisation in R for biologists

This interactive online MSD Skills training course is aimed at MSD postgraduate research students and staff with some programming experience in R who want to expand their skills in order to create reproducible analysis workflows and publication quality figures from biological data.

  • 31st October @ 9.30am - 1.00pm
  • 7th November @ 10.00am - 1.00pm
  • 8th November @ 10.00am - 1.00pm

COURSE AIM

By the end of this module, you will be able to perform end-to-end analysis of your own data including statistics and advanced visualization using the third-party packages, which extend the functionality of the base R.

By the end of this course, you will learn:

  • how to find and install the third-party packages relevant for your analysis
  • how to perform advanced data wrangling
  • how to create your own functions
  • how to create graphs and figures for publication
  • how to visualise more complex data and relationships within the data

COURSE FORMAT

The course is structured into 3 half-day sessions as follows:

  • Session 1 - filtering, grouping, aggregating data - Introduction to common packages such as dplyr and data.table
  • Session 2 – visualising data and statistical information with ggplot2 and its extensions
  • Session 3 – advanced visualization and plots for high-dimensional data (heatmaps, PCA), interactive plots with Shiny/Plotly

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