Introduction to Statistics and Descriptive Statistics

In Person

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 course. Intermediate sessions explore specific aspects of the method (libraries, tools etc.) Students must have a basic background in R. This includes at least the basic data types in R, how to install and load packages, and how to use functions, pipes, and apply/map functions. It will be sufficient for students what is covered in the Introduction to R and RStudio course.

Those who have registered to take part will receive an email with full details on how to get ready for the 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. 

More details about Data Surgeries. 

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 wrangling and data visualisation you can look at the following: 

• Silent Disco: Effective Data Visualisation

• Data Carpentry: From Data Wrangling to Data Visualisation

• Much Ado About Nothing: Missing Data in Research

• Digital Method of the Month: Data Visualisation 

• Good Data Visualisation with R 

Return to the Training Homepage to see other available events.