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This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. 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:

1. Use R confidently for statistics and data analysis
2. Be able to analyse datasets using standard statistical techniques
3. Know which tests are and are not appropriate

R is a free, software environment for statistical and data analysis, with many useful features that promote and facilitate reproducible research.

In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to generalised linear model analysis. 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 and moreover know when, and when not, to apply these techniques.

A one day master class in communication from an external trainer who has previously been employed as a hostage negotiator and detective in the Metropolitan Police Force. Participants will gain a practical insight into how professional communicators communicate, and how it can be applied in everyday life.

At the end of the session participants will:

• Know how to persuade and influence effectively
• Understand how to have greater impact when communicating
• Have practiced the fundamental tools of professional communicators

Topics:

• Levels of communication
• Trust
• Stages of active listening
• Non-judgmental language
• Achieving win/win
• Building rapport
• Do's and don'ts

This workshop introduces how to design an effective impact evaluation.

This workshop provides top tips and guidance on developing an impact evaluation survey that is robust. This will include helping participants identify and avoid common pitfalls in impact evaluation questionnaire design, as well as accounting for key issues such as representative sampling. Participants will also have the opportunity to develop their own survey questions with feedback and support during the workshop.