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21 January 2026, 14:00–16:00
28 January 2026, 14:00–16:00
Getting Started with R for Research
22 January 2026, 14:00–16:00
29 January 2026, 14:00–16:00
5 February 2026, 14:00–16:00
Getting Started with Python for Research
23 January 2026, 10:00–11:00
Digital Method of the Month. Statistics: How to pick the right method
2 February 2026, 14:00–17:00
Data Analysis Workflow Design
2 February 2026, 16:00–17:30
Who Speaks Scots Where: What Crowdsourcing Reveals
6 February 2026, 10:00–12:00
13 February 2026, 10:00–12:00
Good Data Visualisation with R
9 February 2026, 14:00–15:00
Digital Method of the Month: Text Analysis
12 February 2026, 14:00–17:00
Analysing Spatial Dynamics with GIS and R
16 February 2026, 14:00–16:00
23 February 2026, 14:00–16:00
Getting Started with Text Analysis with Python
18 February 2026, 14:00–16:00
25 February 2026, 14:00–16:00
Getting Started with Data Analysis in Python
27 February 2026, 10:00–12:00
Processing Geographical Data in QGIS
4 March 2026, 15:00–16:00
Digital Method of the Month: Machine Learning
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Filter past events by event type
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Digital Method of the Month
Fikas
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12 December 2025, 14:00–16:00
Silent Disco: Working with Named Places: How and Why to Build a Gazetteer
10 December 2025, 16:00–18:00
CDCS Annual Lecture 2025
10 December 2025, 14:00–16:00
Getting Started with Inferential Statistics
8 December 2025, 14:00–16:00
Getting Started with Descriptive Statistics
4 December 2025, 14:00–16:00
Using Prompting Efficiently for Research
2 December 2025, 15:00–16:00
CDCS December Fika
28 November 2025, 10:00–12:00
5 December 2025, 10:00–12:00
Intro to Geographical Data with QGIS
26 November 2025, 14:00–16:00
3 December 2025, 14:00–16:00
Using API for Research
21 November 2025, 10:00–11:00
Digital Method of the Month: Geospatial Data and GIS
20 November 2025, 14:00–16:00
27 November 2025, 14:00–16:00
Text Classification in Practice: From Topic Models to Transformers
17 November 2025, 14:00–16:00
Silent Disco: Creating Choropleth Maps with Python and Folium
14 November 2025, 09:30–12:30
From Qualitative Data to Quantified Connections – An Introduction to Epistemic Network Analysis
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