Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie
Title: The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling / Edition 3, Author: Ralph Kimball
Title: Prescriptive Analytics: The Final Frontier for Evidence-Based Management and Optimal Decision Making / Edition 1, Author: Dursun Delen
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Star Schema The Complete Reference / Edition 1, Author: Christopher Adamson
Title: Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center / Edition 2, Author: Hwaiyu Geng
Title: Data Mining: Practical Machine Learning Tools and Techniques / Edition 4, Author: Ian H. Witten
Title: The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data / Edition 1, Author: Ralph Kimball
Title: R for Everyone: Advanced Analytics and Graphics / Edition 2, Author: Jared Lander
Title: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection / Edition 1, Author: Bart Baesens
Title: Marketing Analytics: Data-Driven Techniques with Microsoft Excel / Edition 1, Author: Wayne L. Winston
Title: Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data / Edition 1, Author: EMC Education Services
Title: Data Smart: Using Data Science to Transform Information into Insight / Edition 1, Author: John W. Foreman
Title: Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management / Edition 3, Author: Gordon S. Linoff
Title: Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner, Author: Vijay Kotu
Title: The Data Warehouse Lifecycle Toolkit / Edition 2, Author: Ralph Kimball
Title: Text Mining: A Guidebook for the Social Sciences / Edition 1, Author: Gabe Ignatow
Title: Data Analysis Using SQL and Excel / Edition 2, Author: Gordon S. Linoff
Title: Big Data Fundamentals: Concepts, Drivers & Techniques / Edition 1, Author: Thomas Erl
Title: Building the Data Warehouse / Edition 4, Author: W. H. Inmon

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