Data Science for Business : What you need to know about data mining and data-analytic thinking
Foster Provost
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Learning SQL : Generate, Manipulate, and Retrieve Data
Alan Beaulieu
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Data Visualization : A Practical Introduction
Kieran Healy
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Data Science from Scratch : First Principles with Python
Joel Grus
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Becoming a Data Head : How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Alex J. Gutman
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Microsoft SQL Server 2012 Internals
Kalen Delaney
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Doing Data Science : Straight Talk from the Frontline
Cathy O'Neil
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Learning SQL : Generate, Manipulate, and Retrieve Data
Alan Beaulieu
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Data Mining Techniques : For Marketing, Sales, and Customer Relationship Management
Gordon S. Linoff
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Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing
Ron Kohavi
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Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing
Ron Kohavi
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Advanced Analytics Methodologies : Driving Business Value with Analytics
Michele Chambers
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Deep Learning : A Practitioner's Approach
Josh Patterson
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Agile Data Science 2.0 : Building Full-Stack Data Analytics Applications with Spark
Russell Jurney
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Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques : A Guide to Data Science for Fraud Detection
Bart Baesens
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R for Everyone : Advanced Analytics and Graphics
Jared P. Lander
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Thoughtful Machine Learning with Python : A Test-Driven Approach
Matthew Kirk
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Between the Spreadsheets : Classifying and Fixing Dirty Data
Susan Walsh
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Mathematical Underpinnings of Analytics : Theory and Applications
Peter Grindrod
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Data Science Foundations Tools and Techniques
Michael Freeman
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Product Analytics : Applied Data Science Techniques for Actionable Consumer Insights
Joanne Rodrigues
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Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Magnus Ekman
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eXist : A NoSQL Document Database and Application Platform
Erik Siegel
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