compendium

13 Lessons

What Makes a Good Metric, and What Makes a Vanity Metric

13 Lessons

Pricing & Revenue Analytics: Elasticity and Discount Impact

13 Lessons

The North Star Metric and the Counter-Metrics That Protect It

13 Lessons

Case Study: The Same Dataset Read by Four Different Functions

13 Lessons

Risk & Fraud Analytics: Scorecards and Anomaly Detection

13 Lessons

People Analytics: Attrition, Hiring Funnels & Engagement

13 Lessons

Operations & Supply Chain Analytics: Forecasting and Inventory for Interview Answers

13 Lessons

Financial Analytics Interview Guide: Revenue, Margin & Variance Reporting

13 Lessons

Product Analytics: Events, Engagement & Feature Adoption

13 Lessons

Retention & Cohort Analysis: Reading the Triangle

13 Lessons

Growth Analytics: Funnels, Activation & Referral Loops

13 Lessons

Marketing Analytics: Channels, Attribution & Return on Spend

13 Lessons

Customer Analytics: Segmentation, Retention & Churn

13 Lessons

Customer Lifetime Value: Calculate CLV Two Ways and Defend It in Interviews

13 Lessons

How Analytics Changes Shape by Business Function

13 Lessons

Explaining a Model to a Business Audience

13 Lessons

Classification Metrics: Precision, Recall & the Confusion Matrix

13 Lessons

Case Study: Building & Evaluating a Churn Model