Introduction to Statistics and Descriptive Statistics
This intermediate workshop will focus on developing practical skills for statistical data analysis in R. The session will begin with a theoretical overview of statistics, including:
What statistics can and can’t do
Descriptive and Inferential Statistics
The second half will be more practical, with an opportunity for guided hands-on manipulation and analysis of example data, covering additional topics such as:
Different data types and statistics
Visualising statistical data
This is an intermediate-level workshop. A basic understanding of R is assumed. No prior experience with statistical analysis is required. The Tidyverse package should be downloaded and installed before the workshop.
Those who have registered to take part will receive an email with full details on how to get ready for this course.
After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows.
If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.
If you're interested in other training on data analysis, statistics, and machine learning have a look at the following:
- Digital Method of the Month: Statistics
- Finding Patterns Across Data
- Digital Method of the Month: Machine Learning
- Introduction to Machine Learning
- Statistical Methods: Null-hypothesis Testing with R
- Statistical Methods: Montecarlo Simulations with R
- Systematic Data Cleaning in Python
- Regression and Mixed Effects Modelling with R
- AI and Ethics
- Statistical Methods: Principal Component Analysis with R
Digital Scholarship Centre
Digital Scholarship Centre, 6th floor
University of Edinburgh
Edinburgh EH8 9LJ