Learn Business Analytics in Six Steps Using SAS and R : A Practical, Step-by-Step Guide to Learning Business Analytics
Subhashini Sharma Tripathi
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Text Analytics with Python : A Practical Real-World Approach to Gaining Actionable Insights from your Data
Dipanjan Sarkar
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Practical Data Science : A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets
Andreas Francois Vermeulen
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How Algorithms Create and Prevent Fake News : Exploring the Impacts of Social Media, Deepfakes, GPT-3, and More
Noah Giansiracusa
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Data Science and Analytics for SMEs : Consulting, Tools, Practical Use Cases
Afolabi Ibukun Tolulope
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Real-World Data Mining : Applied Business Analytics and Decision Making
Dursun Delen
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Pandas for Everyone : Python Data Analysis
Daniel Y. Chen
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Foundational Python for Data Science
Kennedy Behrman
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Privacy, Big Data, and the Public Good : Frameworks for Engagement
Julia Lane
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Introduction to Clustering Large and High-Dimensional Data
Jacob Kogan
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Making Data Visual : A Practical Guide to Using Visualization for Insight
Danyel Fisher
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Graph Databases : New Opportunities for Connected Data
Ian Robinson
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High Performance Spark : Best Practices for Scaling and Optimizing Apache Spark
Holden Karau
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MongoDB: The Definitive Guide : Powerful and Scalable Data Storage
Shannon Bradshaw
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Mastering Azure Analytics : Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark
Zoiner Tejada
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Mining the Social Web : Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
Matthew A. Russell
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Machine Learning with Python Cookbook : Practical Solutions from Preprocessing to Deep Learning
Chris Albon
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Machine Learning with Python Cookbook : Practical Solutions from Preprocessing to Deep Learning
Chris Albon
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Database Internals : A Deep Dive into How Distributed Data Systems Work
Alex Petrov
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Data Science from Scratch : First Principles with Python
Joel Grus
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Data Analytics : Models and Algorithms for Intelligent Data Analysis
Thomas A. Runkler
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Between the Spreadsheets : Classifying and Fixing Dirty Data
Susan Walsh
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