CATS Core Statistics BeginnersPrerequisitesExtra run
This course is intended to provide a strong foundation in practical statistics and data analysis using the R or Python software environments. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences.
There are three core goals for this course:
- Use R or Python confidently for statistics and data analysis
- Be able to analyse datasets using standard statistical techniques
- Know which tests are and are not appropriate
Both R and Python are free software environments that are suitable for statistical and data analysis.
In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory
After the course you should feel confident to be able to select and implement common statistical techniques using R or Python and moreover know when, and when not, to apply these techniques.
This course is for the CATS MPhil students only
Number of sessions: 6
| # | Date | Time | Venue | Trainer | |
|---|---|---|---|---|---|
| 1 | Thu 5 Mar 2020 14:00 - 17:00 | 14:00 - 17:00 | 16 Mill Lane, CATS Room | map | Matt Castle |
| 2 | Tue 10 Mar 2020 10:00 - 13:00 | 10:00 - 13:00 | 16 Mill Lane, CATS Room | map | Matt Castle |
| 3 | Tue 10 Mar 2020 14:00 - 17:00 | 14:00 - 17:00 | 16 Mill Lane, CATS Room | map | Matt Castle |
| 4 | Fri 13 Mar 2020 10:00 - 13:00 | 10:00 - 13:00 | 16 Mill Lane, CATS Room | map | Matt Castle |
| 5 | Tue 17 Mar 2020 10:00 - 13:00 | 10:00 - 13:00 | GSLS Online Live Training | Matt Castle | |
| 6 | Wed 18 Mar 2020 10:00 - 13:00 | 10:00 - 13:00 | GSLS Online Live Training | Matt Castle | |
Learning Objectives After this course you should be able to:
- Analyse datasets using standard statistical techniques
- Know when each test is and is not appropriate
During this course you will learn about:
- One and two sample hypothesis tests
- ANOVA
- Simple linear Regression
- ANCOVA
- Linear Models
- Model selection techniques
- Power Analyses
The course is primarily based around computer practicals interspersed with short lectures and presentations used to explain core ideas and principles.
The course is split over six 3 hour sessions.
Six three hour sessions
Several times per term
Booking / availability