pptx, 561.14 KB
pptx, 561.14 KB
docx, 38.29 KB
docx, 38.29 KB
docx, 39.35 KB
docx, 39.35 KB

Bespoke, fully editable lesson for Pearson Edexcel International A Level Computer Science (2026): U4.05 Data analysis with pandas. Slides, worksheet and full answers.

Written for Unit 4 Advanced Practical Programming, topic 18 Representing and handling data (specification 18.1.4). Everything is editable, so you can adapt it to your class.

What’s included
  • PowerPoint lesson (16 slides) with teacher notes on every slide
  • Student worksheet (Word), ready to print or edit
  • Answer sheet (Word) with mark-scheme style answers for every question
U4.05 Data analysis with pandas

By the end of the lesson students can:

  • Load a CSV file into a DataFrame and inspect it with head, info and describe
  • Calculate the mean, median and mode of a column
  • Clean data by removing duplicates and missing values, then save it to a CSV file

Worksheet sections: A. Key words; B. Load and summarise; C. Amend the café program; D. Exam-style question; E. Challenge

Every lesson includes
  • Learning goals and a starter question
  • Clear explanations, diagrams and worked examples (Python 3 throughout, as the specification requires)
  • A quick check and a “your turn” task linked to the worksheet
  • Exam-style questions with marks, and an exit ticket
Format
  • PowerPoint (.pptx) and Word (.docx), fully editable
  • Works in PowerPoint and Google Slides
  • Calm, muted sixth-form design, consistent across the whole course

These are independent resources written for the Pearson Edexcel International Advanced Level Computer Science specification (Issue 1, first teaching 2026; IAS XCP01, IAL YCP01). They are not produced or endorsed by Pearson.

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