Data Analysis in R

With the increasing use of statistical languages like R in data analysis, now is the time to get to grips with them! This course focuses on understanding statistical models and analysing the results whilst learning to work with R. As well as introducing the software to newcomers, it presents basic and more advanced statistics using an overarching framework of the generalized linear model. Every day consists of short lectures with examples, and exercises in which you apply what you have learnt. The focus in the exercises and assignment is the coding in R and how to apply and to interpret generalized linear regression models. After class, you work on an assignment in which you integrate what you've learnt in the exercises. This assignment will be graded.

By the end of this course, students will be able to:

- Evaluate the quality of quantitative data sources
- Choose the appropriate method for analysis, depending on the data source
- Conduct various statistical tests
- Analysis data using generalised linear framework
- Analysis multi-item scales using principal components and factor analysis
- Have developed their skills in R programming