why data analytics

Data Science on AWS - by Chris Fregly & Antje Barth (Paperback)

D3.Js in Action, Third Edition - 3rd Edition by Elijah Meeks & Anne-Marie Dufour (Paperback)

Graph Neural Networks in Action - (In Action) by Keita Broadwater & Namid Stillman (Paperback)

Grokking Data Structures - by Marcello La Rocca (Paperback)

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

Storytelling with Data - by Cole Nussbaumer Knaflic (Hardcover)

Using R in HR Analytics - by Martin Edwards & Kirsten Edwards & Daisung Jang (Paperback)

Analytics Engineering with SQL and Dbt - by Rui Pedro Machado & Helder Russa (Paperback)

Software Engineering for Data Scientists - by Catherine Nelson (Paperback)

Azure Data Fundamentals - by Michael John Pena (Paperback)

Data Algorithms with Spark - by Mahmoud Parsian (Paperback)

Data Engineering for Beginners - (Tech Today) by Chisom Nwokwu (Paperback)

Doing Data Science - by Cathy O'Neil & Rachel Schutt (Paperback)

Head First Data Analysis - by Michael Milton (Paperback)

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

Supply Chain Analytics and Modelling - by Nicoleta Tipi (Paperback)

Data Ethics - 2nd Edition by Katherine O'Keefe & Daragh O Brien (Paperback)

Building the Data Warehouse - 4th Edition by W H Inmon (Paperback)

Data Engineering Design Patterns - by Bartosz Konieczny (Paperback)

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

Symbolic Data Analysis - (Wiley Computational Statistics) by Lynne Billard & Edwin Diday (Hardcover)

Making Sense of Data II - by Glenn J Myatt & Wayne P Johnson (Paperback)

The Data Model Resource Book - by Len Silverston & Paul Agnew (Paperback)

The Big Book of Dashboards - by Steve Wexler & Jeffrey Shaffer & Andy Cotgreave (Paperback)