TheDataScientist
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AI-Powered Business Analyst

Use AI to do the analyst job faster without outsourcing the judgement

4.72,840 students11.5h11 lessons

Python · SQL · Claude API · Power BI

Who this is for#

Business analysts, product analysts and anyone whose job is turning ambiguity into a decision. No programming background is assumed, though you will write some SQL.

What you will be able to do#

Take a vague stakeholder request and produce a scoped, testable requirement. Run an analysis and explain how you verified it. Write a recommendation someone can act on.

What this course does not do#

It does not teach you to hand your judgement to a model. Every module has a verification step, because an analyst who cannot check the output is not an analyst with a productivity tool — they are a liability with one.

Curriculum

4 sections · 11 lessons

  1. Where AI helps and where it does not

    • The analyst tasks worth automating
    • The tasks where automation costs you credibility
    • Building a working prompt library

  2. Requirements and discovery

    • Turning a vague ask into a testable requirement
    • Stakeholder interviews and structured synthesis
    • Writing acceptance criteria that survive review

  3. Analysis

    • Exploratory analysis with an assistant
    • Verifying what the assistant tells you
    • Documenting the decisions, not just the output

  4. Communication

    • Writing the one-page recommendation
    • Presenting uncertainty honestly