Causal Inference for Data Science

Discover the power of causality with Causal Inference for Data Science by David Sweet, a must-have resource for aspiring data scientists and professionals alike. Published by Manning Publications in 2025, this hardback edition spans 392 pages of insightful content designed to enhance your understanding of causal effects.

This engaging book introduces data-centric techniques and methodologies that allow you to estimate causal effects effectively. With numerous real-world examples, Causal Inference for Data Science demonstrates how to apply causal inference concepts practically. The techniques are tailored for individuals with intermediate data science skills, ensuring that you can learn and implement these strategies without requiring advanced statistics knowledge.

Whether you're looking to deepen your expertise or apply causal inference in your projects, David Sweet's work is an invaluable addition to your data science library.