Data Science for Business
Foster Provost
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Fusion Strategy : How Real-Time Data and AI Will Power the Industrial Future
Vijay Govindarajan
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Dive into Deep Learning
Aston (Amazon Web Services) Zhang
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Cloudmoney : Why the War on Cash Endangers Our Freedom
Brett Scott
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Halo Data : Understanding and Leveraging the Value of your Data
Caroline Carruthers
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Demand Forecasting Best Practices
Nicolas Vandeput
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Visual Analytics Fundamentals : Creating Compelling Data Narratives with Tableau
Lindy Ryan
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Data Analytics for Marketing : A practical guide to analyzing marketing data using Python
Guilherme Diaz-Berrio
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Data Cleaning with Power BI : The definitive guide to transforming dirty data into actionable insights
Gus Frazer
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Data Engineering with Google Cloud Platform : A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud
Adi Wijaya
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Learn T-SQL Querying : A guide to developing efficient and elegant T-SQL code
Pedro Lopes
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Expected Goals : The Story of How Data Conquered Football and Changed the Game Forever
Rory Smith
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Data Analysis Using SQL and Excel
Gordon S. Linoff
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Data Science for Business : What you need to know about data mining and data-analytic thinking
Foster Provost
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Blockchain Basics : A Non-Technical Introduction in 25 Steps
Daniel Drescher
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Learning SQL : Generate, Manipulate, and Retrieve Data
Alan Beaulieu
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Beautiful Visualization : Looking At Data Through The Eyes Of Experts
Julia Steele
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Data Visualization : A Practical Introduction
Kieran Healy
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Text as Data : A New Framework for Machine Learning and the Social Sciences
Justin Grimmer
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Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing
Ron Kohavi
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The Chief Data Officer's Playbook
Caroline Carruthers
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Doing Data Science
Cathy O'Neill
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Introduction to Machine Learning with R : Rigorous Mathematical Analysis
Burger Scott
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If Then : How One Data Company Invented the Future
Jill Lepore
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