why data analytics

Algorithms and Data Structures for Massive Datasets - by Dzejla Medjedovic & Emin Tahirovic (Paperback)

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

Python and R for the Modern Data Scientist - by Rick J Scavetta & Boyan Angelov (Paperback)

Data-Oriented Programming - by Yehonathan Sharvit (Paperback)

Practical Linear Algebra for Data Science - by Mike X Cohen (Paperback)

Designing with Data - by Rochelle King & Elizabeth F Churchill & Caitlin Tan (Paperback)

Data Engineering for Cybersecurity - by James Bonifield (Paperback)

Thinking with Data - by Max Shron (Paperback)

R for Data Science - 2nd Edition by Hadley Wickham & Mine Cetinkaya-Rundel & Garrett Grolemund (Paperback)

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

Data Engineering for Machine Learning Pipelines - by Pavan Kumar Narayanan (Paperback)

Data Parallel C++ - 2nd Edition by James Reinders & Ben Ashbaugh & James Brodman & Michael Kinsner & John Pennycook & Xinmin Tian (Paperback)

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

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

Data Quality Fundamentals - by Barr Moses & Lior Gavish & Molly Vorwerck (Paperback)

Strategic Analytics: The Insights You Need from Harvard Business Review - (HBR Insights) (Paperback)

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

Data Structures in Depth Using C++ - by Mahmmoud Mahdi (Paperback)

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

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

Machine Learning and Data Science Blueprints for Finance - by Hariom Tatsat & Sahil Puri & Brad Lookabaugh (Paperback)

SQL for Data Analysis - by Cathy Tanimura (Paperback)

Building Analytics Teams - by John K Thompson (Paperback)

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