why data analytics

Unlocking Data with Generative AI and RAG - by Keith Bourne (Paperback)

Practical Linear Algebra for Data Science - by Mike X Cohen (Paperback)

Azure Data Fundamentals - by Michael John Pena (Paperback)

Network-Constrained Data-Driven Control of High-Speed Railway Systems - by Deqing Huang & Wei Yu (Paperback)

97 Things Every Data Engineer Should Know - by Tobias Macey (Paperback)

Data Ethics in the Age of AI - (MLI Generative AI) by Arshad Khan (Paperback)

The Data Warehouse ETL Toolkit - by Ralph Kimball & Joe Caserta (Paperback)

Big Data - by Viktor Mayer-Schönberger & Kenneth Cukier (Paperback)

Microsoft Power Bi Data Analyst Associate Study Guide - by Paul Turley (Paperback)

The Secret Life of Data - (Information Society) by Aram Sinnreich & Jesse Gilbert (Hardcover)

Data Management at Scale - 2nd Edition by Piethein Strengholt (Paperback)

Tableau Certified Data Analyst Study Guide - by Christopher Gardner (Paperback)

The Enterprise Data Catalog - by Ole Olesen-Bagneux (Paperback)

Microsoft Fabric Analytics Engineer Associate Study Guide - by Brian Bønk & Valerie Junk (Paperback)

The Definitive Guide to Azure Data Engineering - by Ron C L'Esteve (Paperback)

Cracking the Data Science Interview - by Leondra R Gonzalez & Aaren Stubberfield (Paperback)

Bioinformatics Data Skills - by Vince Buffalo (Paperback)

Implementing Data Mesh - by Jean-Georges Perrin & Eric Broda (Paperback)

Data Science on the Google Cloud Platform - 2nd Edition by Valliappa Lakshmanan (Paperback)

Data Structures the Fun Way - by Jeremy Kubica (Paperback)

Murach's R for Data Analysis - by Scott McCoy (Paperback)

Data Science from Scratch - 2nd Edition by Joel Grus (Paperback)

Hbr's 10 Must Reads on Data Strategy (Featuring Democratizing Transformation by Marco Iansiti and Satya Nadella) - (HBR's 10 Must Reads)

Data Engineering for Cybersecurity - by James Bonifield (Paperback)