000			00823 a2200157 4500
005			20250521105158.0
020			_a9781098140250
082			_a005.133 _bFAC-C
100			_aFacure, Matheus
245			_aCausal Inference in Python : _bApplying Causal Inference in the Tech Industry /
260			_aUSA: _bO'Reilly Media press, _c2023.
300			_axix, 385p _c20.5 x 27cm
500			_aIncludes index.
650			_aIn 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.
942			_cBK
999			_c34950 _d34950