Paperback Books

Fundamentals of Data Engineering - by Joe Reis & Matt Housley (Paperback)

Python for Data Analysis - 3rd Edition by Wes McKinney (Paperback)

Database Internals - by Alex Petrov (Paperback)

Splunk 9.x Enterprise Certified Admin Guide - by Srikanth Yarlagadda (Paperback)

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)

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

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

Sutskever's List - by Richard Heimann (Paperback)

Designing Machine Learning Systems - by Chip Huyen (Paperback)

Data Analytics & Visualization All-In-One for Dummies - (Paperback)

Hands-On Machine Learning with Scikit-Learn and Pytorch - by Aurélien Géron (Paperback)

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

Fundamentals of Analytics Engineering - by Dumky de Wilde & Fanny Kassapian & Jovan Gligorevic (Paperback)

Grokking Data Structures - by Marcello La Rocca (Paperback)

Inteligencia Artificial - by Neil Wilkins

Grokking Relational Database Design - by Qiang Hao & Michail Tsikerdekis (Paperback)

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

Observability Engineering - 2nd Edition by Charity Majors & Liz Fong-Jones & George Miranda (Paperback)

Practical Tableau - by Ryan Sleeper (Paperback)

Prompt Engineering for Llms - by John Berryman & Albert Ziegler (Paperback)

Practical Lakehouse Architecture - by Gaurav Ashok Thalpati (Paperback)

Deep Learning for Biology - by Charles Ravarani & Natasha Latysheva (Paperback)

R Bioinformatics Cookbook - Second Edition - 2nd Edition by Dan MacLean (Paperback)

Applied Data Science with Python and Jupyter - by Alex Galea (Paperback)