why data analytics

Data Pipelines Pocket Reference - by James Densmore (Paperback)

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

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

Developing Data Migrations and Integrations with Salesforce - by David Masri (Paperback)

Cloud Native Data Security with Oauth - by Gary Archer & Judith Kahrer & Michal Trojanowski (Paperback)

Data Structures and Algorithms with JavaScript - by Michael McMillan (Paperback)

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

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

Build a Career in Data Science - by Emily Robinson & Jacqueline Nolis (Paperback)

SQL - (The Morgan Kaufmann Data Management Systems) by Michael J Donahoo & Gregory D Speegle (Paperback)

The Modern Data Warehouse in Azure - by Matt How (Paperback)

Hands-On Data Visualization - by Jack Dougherty & Ilya Ilyankou (Paperback)

Modern Data Architecture on Azure - by Sagar Lad (Paperback)

Cleaning Data for Effective Data Science - by David Mertz (Paperback)

Data Analysis with Llms - (In Action) by Immanuel Trummer (Paperback)

Data Engineering Design Patterns - by Bartosz Konieczny (Paperback)

Fundamentals of Data Observability - by Andy Petrella (Paperback)

Financial Data Engineering - by Tamer Khraisha (Paperback)

Data Science at the Command Line - 2nd Edition by Jeroen Janssens (Paperback)

Data Visualization with Python and JavaScript - 2nd Edition by Kyran Dale (Paperback)

Practical Data Privacy - by Katharine Jarmul (Paperback)

Data Science: The Hard Parts - by Daniel Vaughan (Paperback)

Databricks Data Intelligence Platform - by Nikhil Gupta & Jason Yip (Paperback)

The Well-Grounded Data Analyst - by David Asboth (Paperback)