Stats & Product Analytics for Analysts
The stats and product-analytics every data analyst is expected to know - without graduate-school math. Read dashboards correctly, design A/B tests that actually work, and stop being fooled by 'average X is Y'. Built for the Topfolio Data Analyst career track.

1 weeks
6 modules, 68 lessons
10
~9 hours
100% Free Structured Micro Course
All video lessons, coding exercises, and quizzes are completely free with zero gatekeeping. Start learning right away!
Start Learning Immediately
Every video, lesson, and practice quiz is completely free. Upgrade to an Official Verified Certificate & AI Review anytime for just ₹99.
Course Curriculum
Stats You Can Actually UseFREE PREVIEW
The foundation. Mean vs median, spread, distributions, sampling intuition. Enough stats to read a chart correctly without faking it.
Reading Inference Without Doing the MathFREE PREVIEW
P-values, confidence intervals, Type I/II errors, statsig vs shipsig, and the five stats traps that fool analysts daily.
Thinking in Product MetricsFREE PREVIEW
North-star metrics, AARRR, leading vs lagging, funnel analysis, cohort retention. The product-analytics frames every DA must know.
A/B Testing in PracticeFREE PREVIEW
When to test, how to design the test, sample-size napkin math, reading results, and the five failure modes that ruin experiments.
Bringing It TogetherFREE PREVIEW
Two case studies, a reusable analyst checklist, and a warm-up rep: analyze a small A/B test before doing it for real on the milestone project.
Deep Dive: CLT & Metric TreesFREE PREVIEW
Optional. Name the statistics you've been running silently since Module 0 (standard error / the Central Limit Theorem), and turn Case Study A's decomposition reasoning into a reusable metric-tree template.
Ready to Master Stats & Product Analytics for Analysts?
All videos, lessons, and practice exercises are 100% free with zero gatekeeping. Start learning immediately, or enroll with the ₹99 Verified Certificate Pass.