Data Science: R Programming
Key Information
Tutor: Dr John Pinney
Course Level: Level 1
Course Credit: 1 credit
Prerequisites: No prior programming experience is required
Duration: 3 x 2 hour sessions
Format: Microsoft Teams with live teaching and hands-on practice
Course Resources
This course provides an introduction to R as a programming language. We will not look at data handling or statistical tests in detail, as these are beyond the scope of this introductory course.
The course will include a lot of hands-on practice using the using the RStudio environment.
Syllabus:
- Basic calculations
- Data structures (vectors, matrices and data frames)
- Control structures (if, while and for)
- Functions
- Importing data
- Plotting charts
Learning Outcomes:
On completion of this workshop you will be able to:
- Use RStudio to work with R notebooks.
- Apply fundamental components of the R language including variables, loops, conditionals, functions and data structures.
- Import data from a file to make simple plots.
- Create programs designed to solve simple problems
Dates & Booking Information
Date | Time | Platform/Venue |
---|---|---|
Friday 13 May 2022 (Part 1) Friday 20 May 2022 (Part 2) & Friday 27 May 2022 (Part 3) |
15:00-17:00 15:00-17:00 15:00-17:00 |
MS Teams |
Please select a date and book on via Inkpath using your Imperial Single-Sign-On.