Introduction to R for Biologists (ONLINE LIVE TRAINING) BeginnersSpecial
CRUK Bioinformatics Summer School: Unix and R Foundations
R is one of the leading programming languages in Data Science. It is widely used to perform statistics, machine learning, visualisations and data analyses. It is an open source programming language so all the software we will use in the course is free. This course is an introduction to R designed for participants with no programming experience. We will start from scratch by introducing how to start programming in R and progress our way and learn how to read and write to files, manipulate data and visualise it by creating different plots - all the fundamental tasks you need to get you started analysing your data. During the course we will be working with one of the most popular packages in R; tidyverse that will allow you to manipulate your data effectively and visualise it to a publication level standard.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.
- Part of CRUK Bioinformatics Summer School: Unix and R Foundations 2022
- Participants organised through CRUK Cambridge Centre
This course is aimed at beginners, no prior knowledge is required.
Number of sessions: 2
| # | Date | Time | Venue | Trainers |
|---|---|---|---|---|
| 1 | Tue 6 Sep 2022 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Facility - Online LIVE Training | Gita Yadav, Kamal Kishore, Jon Price, CRUK Training Programme |
| 2 | Wed 7 Sep 2022 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Facility - Online LIVE Training | Kamal Kishore, Gita Yadav, Jon Price |
R Programming Language, Data handling, Visualisation
During this course you will learn about:
- Basic programming concepts in R
- Data manipulation
- Data visualization
After this course you should be able to:
- Write and execute R code
- Know where to look for help about R code
- Read data from a file and write data to a file
- Format data from tables
- Create plots from data
Presentations, demonstrations and practicals
| Day | Topics |
| Day 1 AM | Introduction to R |
| Day 1 PM | Starting with data |
| Day 2 AM | Data manipulation and visualisation using the R packages dplyr and ggplot2 |
| Day 2 PM | Continuation of Data manipulation and visualisation using the R packages dplyr and ggplot2 |
2
several times a year
- An Introduction to Machine Learning (ONLINE LIVE TRAINING)
- Analysis of bulk RNA-seq data (IN-PERSON)
- Analysis of single cell RNA-seq data (IN-PERSON)
- Introduction to Linear Modelling with R (ONLINE LIVE TRAINING)
- Statistical Analysis using R
Booking / availability