List: Product Analytics, Experimentation and Statistics | Curated by Rudrendu Paul | Medium

Jan 30, 2023

10 stories

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Product Analytics, Experimentation and Statistics

Rudrendu Paul

Causal Inference Part 10: Estimating Causal Effects with Difference-in-Differences: A Data Science…

DiD as powerful tool for estimating causal effects from observational data, overview of application, challenges and best practices

Jan 30, 2023

Causal Inference Part 10: Estimating Causal Effects with Difference-in-Differences: A Data Science…

Jan 30, 2023

Rudrendu Paul

Causal Inference Part 9: Regression Discontinuity Design for Causal Inference in Data Science

RDD as robust approach for causal inference, understanding its implementation, application, and limitations

Jan 29, 2023

Causal Inference Part 9: Regression Discontinuity Design for Causal Inference in Data Science

Jan 29, 2023

Rudrendu Paul

Causal Inference Part 8: Instrumental Variable Analysis: A Powerful Technique for Causal Inference…

A powerful technique for causal inference, understanding its assumptions and applications in data science

Jan 28, 2023

Causal Inference Part 8: Instrumental Variable Analysis: A Powerful Technique for Causal Inference…

Jan 28, 2023

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Rudrendu Paul

Causal Inference Part 7: Synthetic control methods: A powerful technique for inferring causality in…

A powerful technique for inferring causality from observational data, understanding implementation, application and limitations in data…

Jan 27, 2023

Causal Inference Part 7: Synthetic control methods: A powerful technique for inferring causality in…

Jan 27, 2023

Rudrendu Paul

Causal Inference Part 6: Uplift Modeling: A Powerful Tool for Causal Inference in Data Science

A powerful tool for causal inference in data science, understanding its implementation, applications and best practices

Jan 27, 2023

Causal Inference Part 6: Uplift Modeling: A Powerful Tool for Causal Inference in Data Science

Jan 27, 2023

Rudrendu Paul

Causal Inference Part 5: Applying Propensity Score Modelling in Causal Inference: A Practical Guide

Propensity Score modeling for causal inference, practical guide for implementation, application, and best practices in data science

Jan 26, 2023

Causal Inference Part 5: Applying Propensity Score Modelling in Causal Inference: A Practical Guide

Jan 26, 2023

Rudrendu Paul

Causal Inference Part 4: Counterfactual Modeling in Data Science: Understanding and simulating…

Counterfactual modeling in data science, understanding its methods and application for simulating hypothetical scenarios, its assumptions…

Jan 25, 2023

Causal Inference Part 4: Counterfactual Modeling in Data Science: Understanding and simulating…

Jan 25, 2023

Rudrendu Paul

Opportunity Sizing Part 1: The Essential Tool for Product and Business Strategy

Apratim Mukherjee and Rudrendu Paul share their expertise on opportunity sizing in product-based businesses in this collaborative article…

Jan 4, 2023

Opportunity Sizing Part 1: The Essential Tool for Product and Business Strategy

Jan 4, 2023

Rudrendu Paul

Overcoming the Limitations of Traditional Experimentation with Holdout Testing

Apratim Mukherjee and Rudrendu Paul share their expertise on Holdout testing methods in product-based businesses in this collaborative…

Jan 20, 2023

Overcoming the Limitations of Traditional Experimentation with Holdout Testing

Jan 20, 2023

Rudrendu Paul
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