Digital Method of the Month: Data Visualisation
Hybrid
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?
The method of this month is Data Visualisation. A big part of conveying research results hinges on how these results are presented. Join us to discuss the main principles of effective and reproducible data visualisation. During the meeting, we are going to discuss good practice, possible pitfalls, and which tools are available to produce effective data visualisation (Click here for an overview of the principles of good data visualisation).
This course will be taught by Somya Iqbal.
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 on how to get ready for this course.
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.
Level
This is a beginner-friendly course. No previous knowledge on the topic is required/expected and the trainer will cover the basics of the method.
Learning Outcomes
- Become familiar with the main concepts of data visualisation
- Understanding possible pitfalls
Skills
By attending this course, you will familiarise yourself with the following skills
- Understanding the uses and limitations of data visualisation
Explore More Training
- Silent Disco: Creating Choropleth Maps with Python and Folium
- Getting Started with Descriptive Statistics
- Getting Started with Inferential Statistics
- BYOD (Bring Your Own Data) Fest
Return to the Training Homepage to see other available events
Room 4.35, Edinburgh Futures Institute
This room is on Level 4, in the North East side of the building.
When you enter via the level 2 East entrance on Middle Meadow Walk, the room will be on the 4th floor straight ahead.
When you enter via the level 2 North entrance on Lauriston Place underneath the clock tower, the room will be on the 4th floor to your left.
When you enter via the level 0 South entrance on Porters Walk (opposite Tribe Yoga), the room will be on the 4th floor to your right.
