If you’re in product management and can’t read data, you’re flying blind. In 2025, product management skills aren’t complete without data analytics in your toolkit. From choosing what feature to build next to explaining it to your CFO, data is the new product intuition.
Why Every PM Needs to Speak Data
Product managers don’t need to be analysts. But they do need to think like them. Here’s why:
- Smarter Decision-Making: Analytics reveals what users are actually doing, not just what they’re saying.
- Roadmap Prioritization: Use data to back decisions on which features will move the needle.
- Stakeholder Alignment: Hard numbers make for stronger pitches and fewer “I feel like” debates.
- Faster Iteration: Data closes the feedback loop so you’re not shipping in the dark.
- Customer Understanding: Spot trends, surface pain points, and uncover opportunities in user behavior.
“A key skill we want PMs to be good at is interpreting data and making sense of it for business or user behavior… understanding what change made our users act differently.” — Cem Kansu, VP of Product at Duolingo
According to a TalentLMS survey, 65% of HR managers say data literacy is now a core requirement for product and tech roles. Meanwhile, the World Economic Forum lists analytical thinking as a top future-of-work skill.
Reddit forums echo this: product managers often admit that lacking analytics confidence holds them back from better cross-functional collaboration and feature impact.
Ready to upskill? Discover the 7 Best Data Analytics Certifications to fast-track your career growth.
Okay, So What Data Skills Should PMs Actually Learn?

You don’t need to run regressions in R, but you do need:
- Data Literacy: Know your metrics, from DAUs to LTV to churn.
- Tool Proficiency: Get comfortable with Mixpanel, Amplitude, GA4, or whatever your org uses.
- Basic SQL: Even a SELECT * FROM table can go a long way.
- Data Storytelling: Don’t just share dashboards. Tell a story.
“The goal is to turn data into information, and information into insight.” — Carly Fiorina, Former CEO of HP
“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” — Geoffrey Moore
Want to future-proof your career? Discover how a master’s in Data Analytics can help you move into leadership roles.
Best Courses for Data Analytics for Product Managers (2025 Edition)
Course | Provider | Format | Level | Notes |
---|---|---|---|---|
Product Analytics | Reforge | Online | Intermediate | Core PM concepts |
Product Analytics 101 | The Product Folks | Online | Beginner | Free, highly accessible |
Ultimate Product Analytics Course | Product Analytics Academy | Online | Advanced | Focused on Mixpanel |
Product Analytics & Iteration | eCornell | Online | Pro | University-backed credential |
Modern Product Analytics | Gapsquad | Online | Intermediate | Focus on modern tools |
BrainStation Data Analytics | BrainStation | Hybrid/Online | All levels | Practical certification |
CareerFoundry Data Analytics | CareerFoundry | Online | Beginner | Free intro track |
Product Management Specializations | Coursera (IBM, Meta, etc.) | Online | All levels | Many with analytics modules |
Mount Royal PM Certificate | Mount Royal Univ. | In-person/Online | All levels | Analytics included |
Bonus Picks for General Analytics Tools & Business Intelligence
- Google Data Analytics Certificate (Coursera)
- SQL for Data Analysis (Mode Analytics)
- Introduction to Business Intelligence (edX)
- Data Visualization with Tableau (Coursera)
Not Just Courses—Join the Community
- Reddit: r/ProductManagement and r/analytics for candid advice, tool reviews, and success stories.
- Newsletters: Try Lenny’s Newsletter and Product Habits.
- Blogs: Product School, Mixpanel, Userpilot, CXL.
“Data are just summaries of thousands of stories—tell a few of those stories to help make the data meaningful.” — Chip & Dan Heath
See how data analytics can directly impact your marketing campaigns:Read real-world case studies here
TL;DR: Data Is the New Superpower

Whether you’re a junior PM or a product lead, mastering data driven product management will set you apart. It’s not about becoming a data analyst. It’s about becoming the kind of PM who makes confident, defensible decisions.
And if you’re stuck deciding what course to take? That’s literally why we built CourseCorrect. We help you compare and choose the best data analyst course, product manager skills programs, and more—based on your goals, not hype.
👉 Try CourseCorrect.fyi — and don’t just build features. Build smarter.
FAQ: Product Management & Data Analytics
Do I need a data analyst course to be a PM?
Not necessarily. But you need to be able to talk to analysts, understand their work, and turn insights into action.
What’s the difference between product analytics and business intelligence?
Product analytics is about user behavior and feature usage. Business intelligence is broader—revenue, ops, supply chain, etc.
Can I learn analytics without a math background?
Yes. Most beginner-friendly courses assume no advanced math.
Which analytics tools should I start with?
Start with Mixpanel or Amplitude for product analytics, and SQL for data queries. Sprinkle in a little Tableau for viz.