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Data and AI

Data Analysis

Turn messy records into defensible summaries, visualizations, and decisions.

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Level
Beginner to intermediate
Interest area
Games and tech
Learning outcomes
4 focused outcomes

Topic overview

Learn the foundations of Data Analysis.

Good analysis begins before a chart is made. The member must understand what each row represents, inspect missing or inconsistent values, choose comparisons, and communicate uncertainty.

Learning outcomes for Data Analysis

  1. 1

    Define observations, variables, and a focused question

  2. 2

    Clean common missing, duplicate, and inconsistent values

  3. 3

    Choose summaries and charts that match the data

  4. 4

    Explain findings, uncertainty, and limitations

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Suggested route

How to learn Data Analysis step by step.

01

Build the foundation

Define observations, variables, and a focused question

02

Practise with feedback

Clean common missing, duplicate, and inconsistent values

03

Practise with feedback

Choose summaries and charts that match the data

04

Apply and reflect

Explain findings, uncertainty, and limitations

Check and review

Practise and review Data Analysis.

Vibe quiz

Data and AI literacy self-test

Review data quality, visualization, model training, evaluation, bias, privacy, and responsible use of generative AI.

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Related activity decks

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