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AI for research, insights & data, 20 - 24 April 2026
Introduction to Course 3: AI for research, insights & data
Syllabus
Practical tips before diving in
Introduction
Introduction
Lesson 1- Data collection: Conducting sector-relevant desk research
Lesson 1.1: Data collection: Conducting sector-relevant desk research (12:11)
Lesson 1.2: The importance of human oversight (2:34)
Lesson 1.3: Wrap-Up Reflection (3:09)
Lesson 2- Co-Writing with AI
Lesson 2.1: Co-Writing with AI (6:18)
Lesson 2.2: The SHARE Framework (3:00)
Lesson 2.3: Applying "E-Evidence" (3:23)
Lesson 3 - From Research to Insight: AI for Data Cleaning and Visualisation
Lesson 3.1: Understanding AI's Role in Your Data Work (3:50)
Lesson 3.2: AI-Assisted Data Cleaning in Tools You Already Use (14:57)
Lesson 3.3: From Data to Story - Analysis & Visualisation with AI (5:12)
Lesson 3.4: Making It Work - Practical Considerations (3:33)
To receive your certificate, tell us how will you apply the content you've learned?
Hands on activity: Applying AI to Evidence-Based Research
Optional hands-on activities
2 minute, optional feedback survey
Live session questions and details
Lesson 1.1: Data collection: Conducting sector-relevant desk research
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