why data analytics

Big Data in Medical Science and Healthcare Management - by Peter Langkafel (Hardcover)

Data Science Fundamentals with R, Python, and Open Data - by Marco Cremonini (Hardcover)

Power BI - by Rob Botwright (Paperback)

AI Meets Strategy - by Anshuman Srivastava & Abhinav Garg & Anshuman Mishra (Paperback)

Ethereum - by Herbert Jones (Hardcover)

Dax for Dummies - by Michael Alexander & Juan Escobar (Paperback)

Data Wrangling with SQL - by Raghav Kandarpa & Shivangi Saxena (Paperback)

SQL Pocket Guide - 4th Edition by Alice Zhao (Paperback)

Principles of Data Management - 3rd Edition by Keith Gordon (Paperback)

Practical AI for Business Leaders, Product Managers, and Entrepreneurs - by Alfred Essa & Shirin Mojarad (Paperback)

The Leadership Algorithm - by Shrey Shivam (Paperback)

Marketing Metrics - 2nd Edition by Christina Inge

Data Lake Analytics on Microsoft Azure - by Harsh Chawla & Pankaj Khattar (Paperback)

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

Data Management for Researchers - (Research Skills) by Kristin Briney (Paperback)

The Decision Maker's Handbook to Data Science - 3rd Edition by Stylianos Kampakis (Paperback)

Feature Engineering for Machine Learning - by Alice Zheng & Amanda Casari (Paperback)

Blueprints for Text Analytics Using Python - by Jens Albrecht & Sidharth Ramachandran & Christian Winkler (Paperback)

Time Series Forecasting in Python - by Marco Peixeiro (Paperback)

Predictive Analytics for Human Resources - (Wiley and SAS Business) by Jac Fitz-Enz (Hardcover)

R in Action, Third Edition - by Robert I Kabacoff (Paperback)

Statistics Using Python - by Oswald Campesato (Paperback)

Scaling Topic Maps - by Lutz Maicher & Lars Marius Garshol (Paperback)