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Product Analytics Micro-Certification

Intermediate 5 hours English MicrocredentialFREE
SkillsProduct analyticsSuccess metricsFunnel analysisA/B testingData-driven PMProduct management

Is this course right for you?

Our take
The data skills modern product work runs on, in a free Product School micro-certification.

Good for: PMs sharpening their metrics and data skills, for free.

Skip if: You want deep analytics coding or a flagship credential.

In roughly two hours it covers defining success metrics, building funnel analysis to diagnose where users drop off, and designing and interpreting A/B tests — the difference between a PM who has opinions and one who has evidence. It's a quick, practical sharpening rather than deep analytics coding or a flagship credential. Free and self-paced via Product School's email campaigns, and distinct from their $3,999-plus flagship certificates; take it as a quick, credible marker of that specific skill (as of 2026).

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About this course

Product Analytics covers the metrics and data skills central to modern PM work: defining the right success metrics for product features, building funnel analysis to diagnose user drop-off, designing and interpreting A/B tests, using cohort analysis to understand retention, and applying frameworks like AARRR (pirate metrics) and North Star metric design. The emphasis is on decision-making, not technical data manipulation — PMs who use analytics dashboards rather than writing SQL queries.

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Instructor

I
Instructor
Product School instructor

Taught by senior Product School instructors with PM experience at Google, Airbnb, and Spotify — PMs who use analytics tools daily.

Frequently asked questions

No. It is an introductory course on product analytics concepts — the metrics and data thinking product managers use to understand how a product is performing — not a coding or SQL tutorial. It focuses on what to measure and why (engagement, retention, funnels) rather than how to query data yourself. Non-technical PMs and beginners can follow it without any programming background.

The fundamentals of product analytics: the key metrics that matter for products, how to think about user behaviour and funnels, interpreting data to guide product decisions, and the basics of measuring engagement and retention. It is a conceptual introduction to being data-informed as a product person rather than a deep, hands-on analytics course, giving you the vocabulary and mindset.

Aspiring and current product managers who want to work more confidently with data, plus anyone curious about how products are measured. It assumes no analytics or technical background, so it suits people early in product careers or wanting to understand the metrics side. It is an introduction, so experienced data-driven PMs will find it basic.

Yes. It is one of Product School's free introductory courses — short and produced, with some interactive elements — distinct from their paid Product Manager Certification. There is no fee, and the content stands on its own while also serving as a taster for the paid programs. No obligation comes with enrolling.

It is short — a focused intro course, typically an hour or two — as a taster rather than a full program. That makes it a quick, low-commitment way to grasp product-analytics basics, after which deeper analytics or SQL courses would take you further if you want hands-on measurement skills.
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