Claude for Data and Analytics - Questions to Insights (Practical AI for Analysis Planning, QA, and Storytelling)

About the Course:

This 90-minute online session teaches foundational AI concepts and a practical workflow for using Claude to improve analysis speed and clarity. Learners practice turning messy stakeholder requests into structured analysis briefs, clear metric definitions, and step-by-step analysis plans. Claude is used to draft query logic and narrative structure, while learners maintain responsibility for correctness and validation.

The session includes a practical QA routine: assumptions listing, edge-case checks, reconciliation to known totals, sampling, and “show your work” prompts. Ethical guardrails are also covered: privacy, bias awareness, and transparent communication of uncertainty.

Why should you attend?

Fear, uncertainty, and doubt (FUD) is a line for marketing purposes.

If analytics can’t quickly translate questions into clear metrics and validated insights, stakeholders stop trusting the function—and decisions revert to opinions. But if AI is used without QA, teams risk wrong conclusions at scale. This course shows how to get faster from question to insight with a built-in verification checklist.

Course Objectives:

• AI foundations for analytics: where Claude helps vs. common failure modes.
• Turning vague asks into structured analysis briefs.
• Metric definitions: grain, filters, inclusion/exclusion rules.
• Drafting analysis plans and query logic (with explicit assumptions).
• QA checklist: totals, duplicates, nulls, outliers, sampling.
• Insight storytelling: What / So What / Now What.
• Ethical guardrails: privacy, bias awareness, transparency, and uncertainty.

Who is the Target Audience?

• Data Analysts / BI Analysts
• Product Analysts / Growth Analysts
• Analytics Managers / Data Leads
• Operations Analysts
• Anyone who writes requirements or interprets dashboards

Basic Knowledge:

• Basic Knowledge of AI & who is a Data Enthusiast.