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Data Science for Product Managers Course

Data Science for Product Managers Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

Master the essentials of data science to make confident, measurable product decisions. This practical course covers experiment design, power analysis, and causal inference, plus data cleaning, feature engineering, and segmentation. Learn mobile app metrics for activation, retention, and engagement, then run rigorous statistical tests and translate results into clear rollouts, guardrails, and impactful follow-up experiments.

Elevify advantages

Develop skills

  • Design rigorous A/B tests: plan, randomise, and validate product experiments fast.
  • Analyse retention and engagement: master D1, D7, D28 and churn for mobile apps.
  • Model treatment effects: use regression to segment impact by platform, country, cohort.
  • Turn metrics into decisions: read lift, risk, and dashboards to guide product bets.
  • Clean product data quickly: fix missingness, time windows, and build user features.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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