why data analytics

Data Engineering with Databricks Cookbook - by Pulkit Chadha (Paperback)

Data Engineering Best Practices - by Richard J Schiller & David Larochelle (Paperback)

Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide - by Steve Miles (Paperback)

Training Data for Machine Learning - by Anthony Sarkis (Paperback)

Essential Math for Data Science - by Thomas Nield (Paperback)

Data Science Essentials for Dummies - by Lillian Pierson (Paperback)

Data Governance with Unity Catalog on Databricks - by Kiran Sreekumar & Karthik Subbarao (Paperback)

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques - (Wiley and SAS Business) (Hardcover)

Murach's Python for Data Science (2nd Edition) - by Scott McCoy (Hardcover)

Data Engineering with Google Cloud Platform - Second Edition - 2nd Edition by Adi Wijaya (Paperback)

Fundamentals of Data Visualization - by Claus O Wilke (Paperback)

Fuzzy Data Matching with SQL - by Jim Lehmer (Paperback)

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

AWS Certified Data Engineer Associate Study Guide - by Sakti Mishra & Dylan Qu & Anusha Challa (Paperback)

Semantic Modeling for Data - by Panos Alexopoulos (Paperback)

Learning Data Science - by Sam Lau & Joseph Gonzalez & Deborah Nolan (Paperback)

3D Data Science with Python - by Florent Poux (Paperback)

ML and Generative AI in the Data Lakehouse - by Bennie Haelen (Paperback)

C# Data Structures and Algorithms - Second Edition - 2nd Edition by Marcin Jamro (Paperback)

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

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

Augmented Analytics - by Willi Weber & Tobias Zwingmann (Paperback)

Practical Data Analysis with JMP, Third Edition - 3rd Edition by Robert Carver (Paperback)