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Product Description
Causal Inference in Python: Applying Causal Inference in the Tech Industry 1st Edition | Matheus Facure | 978-1098140250 | Paperback
Causal Inference in Python by Matheus Facure is a practical guide to applying causal reasoning in data science and tech industry analytics. Covering potential outcomes, A/B testing, instrumental variables, difference-in-differences, and synthetic control methods, this book bridges the gap between econometrics and Python data science. Available now at Nybookshub — your trusted international bookstore — in authentic Paperback format with fast US, shipping.
About This Book
Causal Inference in Python Matheus Facure by Matheus Facure is published by O'Reilly Media. This 1st Edition Paperback edition (ISBN: 978-1098140250) contains 328 pages of comprehensive, authoritative content in the field of Computer Science & Programming. Whether you are a student, practitioner, researcher, or professional, this book is an indispensable addition to your library.
Product Details
- Title: Causal Inference in Python: Applying Causal Inference in the Tech Industry 1st Edition
- Author(s): Matheus Facure
- Publisher: O'Reilly Media
- Edition: 1st Edition
- Format / Binding: Paperback
- ISBN-13: 978-1098140250
- Pages: 328
- Subject: Computer Science & Programming
- Language: English
- Sold by: Nybookshub
What You Will Learn
- Fundamentals of causal inference: potential outcomes framework and DAGs
- Randomised controlled trials and A/B testing best practices
- Instrumental variables, regression discontinuity, and DiD methods
- Using Python (pandas, statsmodels, DoWhy) for causal analysis
- Practical industry case studies in tech and digital business contexts
About the Author
Matheus Facure is a data scientist at Nubank (Brazil) and specialises in causal inference applied to business and tech decision-making. His book reflects real-world causal analysis challenges encountered in the tech industry.
Why Buy from Nybookshub?
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Frequently Asked Questions
Is this the original/genuine edition of Causal Inference in Python Matheus Facure?
Yes. Nybookshub sells only 100% authentic, publisher-original editions. Your copy of Causal Inference in Python Matheus Facure by Matheus Facure will be a genuine Paperback edition exactly as published by O'Reilly Media — not a reprint, photocopy, or unauthorised reproduction.
Who is the author of Causal Inference in Python Matheus Facure?
Matheus Facure is a data scientist at Nubank (Brazil) and specialises in causal inference applied to business and tech decision-making. His book reflects real-world causal analysis challenges encountered in the tech industry.
What edition and format is this listing?
This listing is for the 1st Edition in Paperback format (ISBN: 978-1098140250), comprising 328 pages. Please confirm this edition matches your course or professional requirement before ordering.
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Can I use this book for university or professional certification?
Causal Inference in Python Matheus Facure is widely adopted in universities, professional certification programmes, and continuing education curricula across Computer Science & Programming. Always verify with your institution that this edition number matches the prescribed text.
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