Causal Inference In Python - Matheus Facure

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size

22.86 x 17.78 x 2.03 cm

Product Information

Brand Name

Books Kingdom

Ideal For

General Readers, Fiction Lovers, Mythology & Historical Fiction Readers, Indian Mythology Enthusiasts, Young Adults (YA) & Adults, College Students, Competitive Exam Aspirants (General Reading / Culture), Gift Purpose (Books Gift Set), Spiritual & Philosophy Interest Readers, Library / Book Collection Buyers

Material

Paperback

Country Of Origin

India

Pack Of

About Author

Matheus Facure Is An Economist, Researcher, And Author Known For His Work In Causal Inference And Applied Econometrics. He Focuses On Explaining Modern Data Science And Causal Analysis Methods In A Clear, Practical Way, Helping Readers Understand How To Draw Reliable Conclusions From Data. He Is Especially Recognized For Bridging Theory And Real-World Applications For Students And Professionals.

Author Name

Matheus Facure

Genre

Computer Science

No Of Pages

408

Publisher

Penguin Random House

Product Description

Premium Quality: This paperback edition of Causal Inference in Python addresses real-world business questions - such as how additional marketing spend affects buyer volume and how to establish an optimal pricing strategy - through the lens of causal inference.

Product Design: The book is structured around the principle that the best way to determine how business levers affect key metrics is through causal inference, offering a rigorous yet practical framework for data-driven decision-making.

User Experience: Author Matheus Facure is known for bridging theory and real-world applications, making complex causal analysis methods clear and accessible for both students and working professionals.

Versatile Occasion: The book tackles questions such as which customers will only buy when given a discount coupon, demonstrating how causal inference can be applied directly to marketing, pricing, and customer behaviour analysis.

Quality Assurance: At 408 pages, this comprehensive volume published by Books Kingdom covers modern data science and causal analysis methods with a focus on helping readers draw reliable conclusions from data.

Lifestyle Essential: A vital resource for economists, data scientists, and business analysts seeking to move beyond correlation and apply principled causal reasoning to their work.

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