Continuing Professional Development (CPD)
This course has been approved by the Royal Society of Biology for purposes of CPD
Who the course is aimed at: Anyone wanting to learn about using R for data analysis.
Date: 23 - 25 January 2024 (10:00-16:30 daily)
Location: Online (Zoom)
Requirements: No prior knowledge of the topics covered is required. Participants will need a free account on Posit Cloud. Full setup instructions will be provided prior to the course.
R is a statistical programming language which has emerged as an important modern data science tool, in academia and beyond. It is open source and freely available, platform independent, extremely powerful for statistical analysis and visualisation and backed by a substantial ecosystem of packages and a large, vibrant community of developers and contributors. The scripted nature of performing analyses in R also contributes to transparency and reproducibility and makes analyses easier to share and easier to build on.
In this course, we’ll start with the basics of working in R as well as introduce basic programming concepts like iteration, writing functions and controlling execution flow. We’ll then dive into using R for data analysis, focusing on what consists of 80% of work involved in analysing data, data wrangling. We’ll focus on using packages in the tidyverse for reading in, manipulating, combining, analysing and plotting data. We’ll also look at literate programming through Quarto, i.e. the process of combining code, text and results of code execution in a single document to produce shareable reports. Throughout all, we’ll also introduce best practices for working with R projects with a focus on reproducibility.
Highlights and Learning Outcomes
- Introduction to basics of R.
- Programming in R: iteration, controlling execution flow, functions.
- Data wrangling in R with the tidyverse.
- Literate programming with Quarto.
- Best practices in working with R projects.
Prices
Full price: £475
Member price: £420
Student Member price: £325
If you would prefer to pay by instalment or invoice, please contact us at events@mba.ac.uk
Bursaries
Membership categories eligible to apply for our bursaries are Students, Postgraduates and Newly Qualified
Deadline: Thursday 05 October at noon (12:00 midday).
For details of how to become a Member
Any queries please email events@mba.ac.uk
Course Tutor
Anna Krystalli
