Introduction to R for Data Science (ONLINE LIVE TRAINING) - EXTERNAL

Beginners

PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors to assist you with instant and personalised feedback and to help you to run/execute the scripts which we will be using during the course. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout.

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 workshop 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 workshop 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.

The workshop will be taught online via an online training environment that we have in place.

More information about the course, registration and fees can be found here.

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.

• This course is aimed at Women from India, including Graduate students, Postdocs and other individuals.
• It will be delivered to Indian Women Applicants under the We -VIDYA Initiative (Women enabled for Virtual Induction as Data Youth and AI Professionals).

• This course is aimed at beginners, no prior knowledge is required.
• Fluency in English and a good internet connection will help you gain the most from the course.

Number of sessions: 4

R Programming Language, Data handling, Visualisation

During this course you will learn about:

• Basic programming concepts in R
• Data handling
• 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
• Extracting data from tables
• Create plots from data

Presentations, demonstrations and practicals

4 half day sessions

twice per year

• An Introduction to Machine Learning (ONLINE LIVE TRAINING)
• Statistical Analysis using R