
OLAP and data mining lesson for IB Diploma Computer Science (first assessment 2027), with editable PowerPoint slides, a student worksheet and full answers. OLAP lets analysts explore data from many angles, and data mining searches large datasets for patterns, trends and links.
Written for the 2027 IB Computer Science guide, unit A3 Databases (HL only). Everything is editable, so you can adapt it to your class.
What’s included- PowerPoint lesson (12 slides) with speaker notes on every slide
- Student worksheet (Word), ready to print or edit
- Answer sheet (Word) with model answers for every question
By the end of the lesson students can:
- Explain the role of OLAP in business intelligence
- Describe six data mining techniques
- Discuss the uses and risks of OLAP and data mining
Worksheet sections: A. OLAP operations; B. Techniques; C. In the school; D. Ethics
Every lesson includes- Learning goals and a starter question
- Clear explanations with worked examples (Python where code is needed)
- A quick check and a “your turn” task linked to the worksheet
- An exit ticket
- PowerPoint (.pptx) and Word (.docx), fully editable
- Works in PowerPoint and Google Slides
- Calm pastel design, consistent across the whole IB course
These are independent resources written for the IB Diploma Programme Computer Science guide (first assessment 2027). They are not produced or endorsed by the International Baccalaureate Organization.
More lessons in this series- Previous lesson: Data warehouses – IB Computer Science lesson
- Next lesson: Distributed databases – IB Computer Science lesson
- Save with the bundle: Databases – IB Computer Science (18 lessons)
Last updated: November 2026.
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