Resource Hub
Curated reads across domains, fundamentals, and interview prep
Data Fundamentals
MLOps
MLOps Is Not a Tool. It Is a Discipline. Here Is What It Actually Involves.
Best Practices
May 295 min read
Econometrics & Stats
Business
The Coefficient Table Is Worth More Than the Prediction — If You Know How to Read It
Interpretation
May 295 min read
Data Fundamentals
Real World Data
The 8 Types of Data Every Data Scientist Works With in Production
Production Systems
May 275 min read
Industry Domain
E-Commerce
Traffic Acquisition and Channel Mix Analysis in E-Commerce
Channel mix analysis
May 1810 min read
Industry Domain
E-Commerce
What is Marketing Mix Modeling (MMM) in E-Commerce
Revenue Attribution
May 155 min read
Interview Tips & Tricks
General
Stop Asking "What Model Should I Use?" Start Asking This Instead
Model Selection
May 135 min read
Data Fundamentals
Work Smarter
The Question Every Data Scientist Skips (And Why It Costs Them the Whole Project)
Analytics Thinking
May 125 min read
Interview Tips & Tricks
Interview Prep
What Data Science Interviews Actually Evaluate (And It's Not What You Think)
DS Careers
Apr 110 min read
Industry Domain
E-Commerce
How Dynamic Pricing Actually Works on a E-Commerce Marketplaces
Dynamic PricingDemand Forecasting
Mar 185 min read
Econometrics & Stats
Regression
Why You Should Log-Transform Your Outcome — And When You Should Not
Log transformation
Mar 185 min read
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Industry Domain
E-Commerce
The Funnel Metrics Every E-Commerce Analyst Must Know
Funnel AnalyticsGrowth Analytics
Mar 165 min read
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Industry Domain
E-Commerce
How Marketplaces Like Amazon Decide Which Sellers You See First
Seller StrategySearch Ranking
Mar 158 min read
Econometrics & Stats
Causal Inference
Difference-in-Differences — The Most Useful Causal Method You're Probably Not Using
Statistical Frameworks
Mar 155 min read
Econometrics & Stats
Experimentation
Your A/B Test Is Probably Underpowered — Here's How to Fix It
A/B TestingHypothesis Testing
Mar 1510 min read
Econometrics & Stats
Pathway analysis
Econometrics for Data Scientists — Panel Data, Event Studies, Mediation, Quasi-Experiments, and Time Series Causal Methods
Causal Inference
Mar 1412 min read
Econometrics & Stats
Synthetic Control
Econometrics for Data Scientists — Synthetic Control, A/B Testing, Uplift Modeling, and Causal Forests
Statistical frameworks
Mar 1410 min read
Econometrics & Stats
Frameworks
Econometrics for Data Scientists — What It Is, Why It Matters, and the Methods That Changed How We Think About Cause and Effect"
Causal Inference
Mar 1410 min read
Data Fundamentals
Causation
Why Correlation Will Get You Fired and Causation Will Get You Promoted
CorrelationCausality
Mar 135 min read
Data Fundamentals
Classification
How to Choose the Right Classification Threshold — Not Just 0.5
Confusion Matrix
Mar 1310 min read
Data Fundamentals
Regression
How to Make Sure Your Regression Model Is Actually Trustworthy
Regression Assumptions
Mar 128 min read
Industry Domain
Retail
The Retail Data Ecosystem: What Data Actually Exists in a Retail Company
Retail Data Hierarchies
Mar 1210 min read
Data Fundamentals
Feature Engineering
How to Do Feature Selection Properly — The Full Process from Logic to Code
Correlation Filter
Mar 1110 min read
Industry Domain
Retail
How Competitor Pricing Strategy Actually Works in Retail
Competitive pricingRetail Analytics
Mar 1115 min read
Industry Domain
Retail
How Demand Forecasting Works at a Fortune 500 Retailer
Demand forecastingRetail Analytics
Mar 1112 min read
Data Fundamentals
Clustering
How to Know If Your Clusters Actually Mean Anything — A Validation Checklist
Clustering Checklist
Mar 108 min read
Industry Domain
Retail
The KPIs That Actually Run a Retail Business
Retail Analytics
Mar 1010 min read
Industry Domain
Retail
Why Retailers Know What You'll Buy Before You Do
Retail Analytics
Mar 210 min read