UBDC Training - Introduction to R
- When:
- Wednesday 22 November 2023
- Time:
- 10:00 - 16:30 GMT
- Where:
- JMS 607, James McCune Smith Learning Hub GET DIRECTIONS
This training course led by data scientists from UBDC provides an introduction to the data analysis tool R.
As a powerful open-source tool for data analysis, R is increasingly popular with people working with data. The purpose of this course is to get people started with R and R Studio, covering skills such as loading data into R, describing data, cleaning data, and visualising data. The training aims to provide analysts with the foundational skills needed to use R, which can be applied to a variety of data analysis and data science tasks.
Content
This one day introduction will cover:
- Loading data into R
- Calculating descriptive statistics
- Producing tables
- Cleaning data
- Data visualisation
The course will run from 10:00 - 16:30. Lunch will be provided.
Who is this course for?
This course is ideal for researchers, practitioners, anyone interested in using R for data analysis .
Prerequisite knowledge and requirements
You will need basic IT skills (e.g., ability to save a file to a folder and find it again later). No previous experience with R is necessary.
Participants will need to bring a laptop. R and R Studio should be installed prior to the course. Instructions will be sent to participants in advance of the course.
Costs
The fees are as follows:
- Standard Registration - £100
- Reduced Rate Registration - Free
The reduced rate is for University of Glasgow staff and students, those with limited income or funding, or anybody for whom the full registration would be a financial burden.
Why study with The Urban Big Data Centre?
The Urban Big Data Centre (UBDC) is a research centre and national data service based at the University of Glasgow. We promote the use of big data and innovative research methods to improve social, economic and environmental well-being in cities. UBDC brings together world-leading urban research with a first-class data collection and data service.
Introduction to R will be led by instructors with practical expertise in using R for data science and experiencing teaching these methods and tools.
The course will make use of a sample of data from the Urban Big Data Centre’s CCTV people counting project. The course may be of particular interest to people who would like to work with this dataset.
