{"product_id":"causal-inference-in-python","title":"Causal Inference in Python","description":"How many buyers will an additional dollar of online marketing bring in? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? The best way to determine how the levers at our disposal affect the business metrics we want to drive is through causal inference.\n\nIn this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A\/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences. Each method is accompanied by an application in the industry to serve as a grounding example.\n\nWith this book, you will:\n\nLearn how to use basic concepts of causal inference\nFrame a business problem as a causal inference problem\nUnderstand how bias gets in the way of causal inference\nLearn how causal effects can differ from person to person\nUse repeated observations of the same customers across time to adjust for biases\nUnderstand how causal effects differ across geographic locations\nExamine noncompliance bias and effect dilution","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":54219256955224,"sku":"9781098140250","price":76.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781098140250_ab7299d0-ded4-482a-9429-f80efa262e49.jpg?v=1780382730","url":"https:\/\/agendabookshop.com\/products\/causal-inference-in-python","provider":"Agenda Bookshop","version":"1.0","type":"link"}