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Data Science Programming All-In-One FD P - by John Paul Mueller (Paperback)
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SQL for Data Analysis - by Cathy Tanimura (Paperback)
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Training Data for Machine Learning - by Anthony Sarkis (Paperback)
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Master Your Data with Power Query in Excel and Power Bi - 2nd Edition by Miguel Escobar & Ken Puls (Paperback)
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Llms and Generative AI for Healthcare - by Kerrie Holley & Manish Mathur (Paperback)
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Scaling Graph Learning for the Enterprise - by Ahmed Menshawy & Sameh Mohamed & Maraim Rizk Masoud (Paperback)
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Observability Engineering - 2nd Edition by Charity Majors & Liz Fong-Jones & George Miranda (Paperback)
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Official Google Cloud Certified Professional Data Engineer Study Guide - by Dan Sullivan (Paperback)
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Mongodb: The Definitive Guide - 3rd Edition by Shannon Bradshaw & Eoin Brazil & Kristina Chodorow (Paperback)
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Practical MLOps - by Noah Gift & Alfredo Deza (Paperback)
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Explainable AI for Practitioners - by Michael Munn & David Pitman (Paperback)
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Building Machine Learning Systems with a Feature Store - by Jim Dowling (Paperback)
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An Introduction to Creating Standardized Clinical Trial Data with SAS - by Todd Case & Yuting Tian (Paperback)
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Data Modeling with Microsoft Power BI - by Markus Ehrenmueller-Jensen (Paperback)
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Hands-On APIs for AI and Data Science - by Ryan Day (Paperback)
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Building Real-Time Analytics Systems - by Mark Needham (Paperback)
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Football Analytics with Python & R - by Eric A Eager & Richard a Erickson (Paperback)
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Vector Databases - by Nitin Borwankar (Paperback)
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Practical Tableau - by Ryan Sleeper (Paperback)
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Thinking with Data - by Max Shron (Paperback)
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Software Engineering for Data Scientists - by Catherine Nelson (Paperback)
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Microsoft Power Bi Data Analyst Certification Companion - (Certification Study Companion) by Jessica Jolly (Paperback)
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Data Management at Scale - 2nd Edition by Piethein Strengholt (Paperback)
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Tableau Certified Data Analyst Study Guide - by Christopher Gardner (Paperback)
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