Doctoral Academy Programme Bookings

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Data Visualisation with R and Python
Domain: D2 Communication and dissemination

TACE: A - Acquisition

Due to the Covid-19 outbreak, all face to face training at the Doctoral Academy has been postponed for the foreseeable future.

Listed below is a selection of external learning resources related to this subject that you may find useful.

R: Interactive Visualizations with html widgets
Big Data Analytics
Big Data: Data Visualisation
Creating Interactive Presentations with Shiny and R
Creating Reports and Presentations with R Markdown and R Studio
Data to Insight: An Introduction to Data Analysis and Visualisation
Data Visualisation with Python
Data Visualization for Data Analysts
Data Visualization in R with ggplot2
Data Visualization Tips and Tricks
Data Visualization: A Lesson and Listen Series
Data Visualization: Best Practices
Data Visualization: Storytelling
Infographics: Visualizing Relationships
Introduction to R for Data Science
Learning Data Science: Tell Stories With Data
Learning Data Visualization
Picking the Right Chart for Your Data
Processing: Interactive Data Visualization
Programming For Everybody (Getting Started with Python)
Python Data Visualisation
Python for Data Science Essential Training Part 1
Python for Data Visualization
Python For Everybody
Tableau and R for Analytics Projects
Visualising Data with Python

For more information on identifying and accessing online learning resources click here
For more information on replacement learning events such as webinars and retreats click here


Format: Talk, Workshop, IT
Suitable for: All

This workshop will cover visualising data for the purpose of presenting and communicating research. The first half of the session will introduce you to the basics of data visualisation theory. Then, in the second half of the session, you will have the opportunity to develop practical data visualisation skills using either R or Python. Workbooks will be provided for you to work through independently, though a tutor will be on hand to answer any queries you may have or if there are specific skills or issues that you wish to explore in detail.

NOTE: This workshop will require prior knowledge of either the R or Python programming languages and software as a prerequisite for attendance. Therefore, you may wish to attend either ‘Python: An Introduction to Programming’ or ‘R Package for Statistical Analysis: An Introduction’ before booking a place.

Additional coaching opportunities are available via weekly data clinics.

More information on this subject may be available on the range of online learning resources such as Linkedin Learning