Data & AI Fundamentals

In development

Working with data honestly: data types and quality, the analysis workflow, querying with SQL, visualisation that does not mislead, and practical, responsible use of AI tooling in a professional setting.

Category: Technology
Difficulty: Beginner / Intermediate
Estimated time: 40 hours
Price: $249

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Learning outcomes

By the end of this course you will be able to:

Assess data quality and identify what a dataset cannot tell you
Query relational data with SQL
Build visualisations that represent the data accurately
Apply AI tools to real tasks while recognising their failure modes

Curriculum

The lessons for this course are being authored now. We publish the module list when the content behind it actually exists — we would rather show you nothing than a syllabus that has not been written. The scope, outcomes and project below are real and final.

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What you will build

An end-to-end analysis: clean a real dataset, query it, visualise it and present findings.