Introduction to R for Biologists (IN-PERSON)

Beginners

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.

If you do not have a University of Cambridge Raven account please book or register your interest here.

• ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
• Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
• Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
• Further details regarding eligibility criteria are available here.
• Guidance on visiting Cambridge and finding accommodation is available here.

• Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals

This course is aimed at beginners, no prior knowledge is required.

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

• Free for registered University of Cambridge students
• £ 60/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
• It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
• £ 60/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
• £ 120/day for all Industry participants. These charges must be paid at registration
• Further details regarding the charging policy are available here

2

several times a year

• 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)
• Principles of Machine Learning (IN-PERSON)
• Programming for Machine Learning (IN-PERSON)
• Intermediate Supervised Machine Learning (ONLINE LIVE TRAINING)
• Core Statistics using R (IN-PERSON)