Practical Data & AI Skills for PMs

Mirza Rahim Baig

16yrs AI, 3xAuthor, Startup Mentor

Hands-on: run analysis, test hypotheses, and prove PM decisions with data & AI.

Building a prototype is no longer the hard part, AI made that trivial. Proving your decision with real data is what separates a PM whose roadmap gets funded from one whose intuition gets questioned.

This workshop covers the full product lifecycle: from a raw question in discovery to a validated hypothesis, a well-designed experiment, a causal read that holds up, and a story leadership actually acts on. You'll do it with the same tools, Claude Code, Claude and Gemini, real databases, and unstructured data, that you'll use back at your desk.

What you’ll learn

Go from gut-feel PM to data-proven PM: run real analysis, test hypotheses, and prove it with AI.

  • Query databases and unstructured data in plain English, no SQL required, using Claude Code.

  • Use Claude and Gemini together to pull and cross-check insights from messy, real data sources.

  • Go from a vague question to a specific, decision-ready insight in one sitting.

  • Turn a raw insight into a testable hypothesis before you ever touch an experiment.

  • Design an A/B test and define the metrics that will actually decide the outcome.

  • Avoid the common experiment-design mistakes that quietly invalidate results.

  • Statistical calculations for primary and supporting metrics, post-hoc power calculations

  • Statistical adjustments and corrections for more reliable analysis

  • Decisioning framework considering statistical and business significance.

  • Build visualizations that make your findings obvious at a glance, not just accurate.

  • Structure a data narrative that drives a decision, not just a slide nobody remembers.

  • Apply every step end to end on one real, messy case study before you leave.

Workshop agenda

  • Discovery: from question to insight

    Take a real question and turn it into an insight using natural language against a live database and a folder of unstructured data, no SQL written.

  • Hypothesis and experiment design

    Turn that insight into a testable hypothesis, then design an A/B test and pick the metrics that will actually settle it.

  • Break

    Step away and recharge before the analysis gets a layer deeper.

  • Experiment analysis and decisioning

    AI assisted significance calculations, post-hoc power calculations, adjustments and corrections. AI guided decisioning framework to reduce bias.

  • Data storytelling and visualization

    Build the visualization and narrative that gets a leadership team to actually act on what you found.

  • Capstone: the full case study

    Run the entire pipeline, discovery to story, on one real, messy case study end to end, and walk out with the analysis you actually presented.

Learn directly from Mirza

Mirza Rahim Baig

Mirza Rahim Baig

Founder, Startup Mentor, 16 yrs AI & data, 3x Author

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Who this workshop is for

  • The PM who's tired of guessing

    You want to back your roadmap calls with real evidence instead of the loudest opinion in the room.

  • The PM ready to run the analysis, not request it,

    You wait on data scientists for every test and want to do first-pass analysis yourself.

What's included

Mirza Rahim Baig

Live sessions

Learn directly from Mirza Rahim Baig in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

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Frequently asked questions

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Reimbursement

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Everything L&D needs: email template, receipts, and certificate of completion.

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Team discount

Learn with your teammates

Save 20%+ when 2 or more teammates enroll in the same cohort.

Save 20%+ with a team

Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

Book a private cohort

$450

USD

Aug 8
·

12:30–4:30pm EDT

·

2 more cohorts