why data analytics

Data Modeling with Microsoft Power BI - by Markus Ehrenmueller-Jensen (Paperback)

Hands-On APIs for AI and Data Science - by Ryan Day (Paperback)

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

Fundamentals of Data Observability - by Andy Petrella (Paperback)

Lean Analytics - by Alistair Croll & Benjamin Yoskovitz (Paperback)

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

Tableau Certified Data Analyst Study Guide - by Christopher Gardner (Paperback)

Implementing Data Mesh - by Jean-Georges Perrin & Eric Broda (Paperback)

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

Practical Data Privacy - by Katharine Jarmul (Paperback)

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

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

Python for Geospatial Data Analysis - by Bonny P McClain (Paperback)

Data Mesh - by Zhamak Dehghani (Paperback)

Automating Data Quality Monitoring - by Jeremy Stanley & Paige Schwartz (Paperback)

Statistics Every Programmer Needs - by Gary Sutton (Paperback)

Financial Data Engineering - by Tamer Khraisha (Paperback)

Recommender Systems Handbook - 3rd Edition by Francesco Ricci & Lior Rokach & Bracha Shapira (Paperback)

Deciphering Data Architectures - by James Serra (Paperback)

Data Science from Scratch - 2nd Edition by Joel Grus (Paperback)

Semantic Modeling for Data - by Panos Alexopoulos (Paperback)

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