A/B Test Analysis Case Study

Summary

Analyze a real or realistic A/B test dataset end-to-end — calculate significance, check guardrails, and write a clear recommendation, directly showcasing Phase 10's skills.

How to Learn This

1Find a public A/B test dataset (several exist for practice on Kaggle and elsewhere).
2Calculate statistical significance and check for common pitfalls (Phase 10).
3Write a recommendation as if presenting to a real product team.

Exploratory Data Analysis (EDA) on a Public Dataset

Business Metrics Deep-Dive Report

More projects in Build Your Data Analyst Portfolio

End-to-End SQL + BI Dashboard Project Exploratory Data Analysis (EDA) on a Public Dataset Business Metrics Deep-Dive Report Data Cleaning Case Study (Messy Dataset)Python + Pandas Analysis Notebook Portfolio Website or GitHub Showcase

Stuck on this topic? Ask an Insider

Get 1:1 guidance from people who've walked this exact path — free on the InsideEdge app.

Download