Regression with R

Statistics mashup


This is the third workshop of the statistics series. 

This is an advanced workshop with a focus on developing theoretical and practical skills for applying regression models. A basic understanding of R and statistical analyses is assumed. Students should be comfortable loading data into Jupyter notebooks or R studio, performing basic data manipulation and descriptive statistics. Time will be spent on the theory behind these models and the variety of applications.

The session focuses on regression analysis, a set of techniques used for understanding the relationship between variables in a dataset. 

The first half will cover regression analysis conceptually, and the second half will cover the practical application of a variety of regression models, including various types of linear and logistic regression.

The workshop will ultimately build on an understanding of regression analysis and show how it can be done in R. The relatively advanced techniques and theory behind all of this are highly applicable to wider concepts and will allow you to apply and build on the core concepts with your own research. 

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. 

More details about Data Surgeries. 

Those who have registered to take part will receive an email with full details and a link to join the session in advance of the start time. 

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. 

In the last workshop of the statistics series, we are going to cover: 

Return to the Training Homepage to see other available events.