why data analytics

Beginning Mathematica and Wolfram for Data Science - 2nd Edition by Jalil Villalobos Alva (Paperback)

Interactive and Dynamic Graphics for Data Analysis - (Use R!) by Dianne Cook & Deborah F Swayne (Paperback)

Becoming a Data Head - by Alex J Gutman & Jordan Goldmeier (Paperback)

Designing Data-Intensive Applications - 2nd Edition by Martin Kleppmann & Chris Riccomini (Paperback)

Fundamentals of Data Base Systems - (MacMillan Computer Science) by S M Deen (Paperback)

Microsoft Fabric Analytics Engineer Associate Certification Companion - (Certification Study Companion) by S (Paperback)

Interactive Data Visualization for the Web - 2nd Edition by Scott Murray (Paperback)

Practical Python Data Wrangling and Data Quality - by Susan E McGregor (Paperback)

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

Soft Computing for Knowledge Discovery and Data Mining - by Oded Maimon & Lior Rokach (Hardcover)

The Practitioner's Guide to Graph Data - by Denise Gosnell & Matthias Broecheler (Paperback)

Essential Data Analytics, Data Science, and AI - by Maxine Attobrah (Paperback)

Data Analysis in Power Bi - by Scott Robinson (Paperback)

Python Data Analytics - 3rd Edition by Fabio Nelli (Paperback)

A Mathematical Introduction to Data Science with Python - by Yi Sun & Rod Adams (Paperback)

Meta-Analytics - by Steven Simske (Paperback)

Unleashing the Power of Data with Trusted AI - by Wendy Turner-Williams (Paperback)

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

Data-Centric Machine Learning with Python - by Jonas Christensen & Nakul Bajaj & Manmohan Gosada (Paperback)

Engineering Data Mesh in Azure Cloud - by Aniruddha Deswandikar (Paperback)

Building Real-Time Analytics Systems - by Mark Needham (Paperback)

Analytical Skills for AI and Data Science - by Daniel Vaughan (Paperback)