SKILL LEVEL
Foundation
DURATION
5 hours
CERTIFICATION
After Completion
LANGUAGE
English
OVERVIEW
Generative AI is changing how organisations approach data analytics, making processes faster and more impactful. This programme equips data professionals to identify exactly where generative AI adds value in the analytics workflow, and just as importantly, where it doesn't, so you apply it with judgement rather than defaulting to it everywhere.
IDEAL FOR
You're a data practitioner at any level who wants a foundational introduction to generative AI in analytics
You need to know where AI genuinely helps your analytics workflow, not just that it exists
You want practical judgement, not a tool demo
NOT FOR
You need hands-on Python or BI tool training — see Python Programming or Power BI Essentials instead
What You’ll Learn
01
Identify which specific tasks in a data analytics workflow generative AI can support
02
Apply generative AI to a data task with awareness of its limitations
03
Validate AI-assisted analysis output against known data quality standards
04
Decide when NOT to use generative AI in a given analytics task
What You’ll Achieve
Leave with clarity, practical tools and a plan for what's next
01
Identify where generative AI adds value in the data analytics workflow
02
Apply best practices for using generative AI in analytics, with awareness of strengths and limitations
03
Support faster, more informed decision-making without sacrificing analytical rigour
Selected Programme Modules
Learn how to use Generative AI in data preparation by practicing prompt writing, cleaning, and formatting raw data—comparing AI-assisted and manual methods to improve efficiency and accuracy.
Discover how Generative AI can enhance data exploration by identifying patterns, correlations, and anomalies, suggesting formulas or queries, and generating charts and reports that can be customised for different audiences.
Learn how to generate and interpret AI-driven insights to support better business decisions while understanding the ethical limits of AI in analytics.