Digital Method of the Month: Statistics

Graphic mashup of manuscript and event description
Image Credit: Ann Harrison​​​​

 

Have you seen a presentation on digital research methods and wondered if they are applicable to your work? Are you interested in learning new digital skills but unsure where to start?  

This is the right place for you!  

The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research.  

Each month we select a method, and we have an honest and practical discussion on what it takes to learn and master it. How much time will it take to get the basics? What are the software options available? What are the most common pitfalls? Where can you find more info on the subject? Etc...   

The method of this month is Statistics. A big part of analysing datasets hinges on statistical principles. Join us to discuss the main principles and techniques to do with summarising and inferential statistics.  During the meeting we will discuss good practices and possible pitfalls, as well as which tools are available to analyse research data. 

No previous knowledge of the method is needed. This training event will be held via Microsoft Teams.  

Due to high demand for our training events, our cancellation and no-show policy applies to bookings for this event. Click here for details of this policy.   

You might be interested in

An illustrative collage with & symbol and an old photograph

Explainable Machine Learning (XAI)

A collage image of historical material

Digital Method of the Month: Machine Learning

An illustrative collage with & symbol and a maths graph

Linear Mixed Effects Modelling

A collage image of historical material

Analysing Spatial Dynamics with GIS and R

A collage image of historical material

Data Analysis Workflow Design

raphic for a workshop titled ‘Getting Started with R for Research.’ The background is a black-and-white photograph of women working at long tables with tools and machinery. Overlaid is a large magenta ampersand featuring an illustration of Ada Lovelace. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Getting Started with R for Research

Promotional graphic for a workshop titled ‘Getting Started with Python for Research.’ The background is a black-and-white photograph of people screen-printing in a studio. Overlaid is a large teal ampersand featuring an illustration of Ada Lovelace. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Getting Started with Python for Research

UoE archival image with training event title

Systematic Literature Review with R