Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The numerous insightful examples show you how to put causal inference into practice in the real world. The practical techniques presented in this unique book are accessible to anyone with intermediate data science skills and require no advanced statistics! Publisher: Manning Publications Author(s): Aleix de Villa Number of pages: 392 Publication date: 2025 Dimensions: 235 x 188 x 26 Cover type: Hardback