aws data labs

Data Curious - by Carl Allchin & Sarah Nabelsi (Paperback)

Principles and Theory for Data Mining and Machine Learning - (Springer Statistics) by Bertrand Clarke & Ernest Fokoue & Hao Helen Zhang

Practical Serverless Applications with AWS - by Apoorva Prakash & Shaik Inthiyaz Basha (Paperback)

Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide - by Steve Miles (Paperback)

Data Science - by Herbert Jones (Hardcover)

Understanding Magnetism in Max Axiom's Lab - (In the Lab with Max Axiom) by Ailynn Collins

Programming Kubernetes - by Michael Hausenblas & Stefan Schimanski (Paperback)

Data Protection and Privacy, Volume 16 - (Computers, Privacy and Data Protection) by Hideyuki Matsumi & Dara Hallinan & Diana Dimitrova (Paperback)

Principles of Data Management and Presentation - by John P Hoffmann (Paperback)

Data Storytelling in Marketing - by Caroline Florence (Paperback)

Dissect-It: Dino Dig

Understanding MySQL Internals - by Sasha Pachev (Paperback)

AWS Certified Developer Associate Certification and Beyond - by Rajesh Daswani & Dorian Richard (Paperback)

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

Data Culture - by Alex Vail (Paperback)

Streaming Architecture - by Ted Dunning & Ellen Friedman (Paperback)

Practical Machine Learning: A New Look at Anomaly Detection - by Ted Dunning & Ellen Friedman (Paperback)

Baby Block Books: Animal Friends - by Duopress Labs (Board Book)

Essential Math for Data Science - by Thomas Nield (Paperback)

Building Data Integration Solutions - by Jay Borthen (Paperback)

A Responsibility to Awe - by Rebecca Elson (Paperback)

Learning Microsoft Power Bi - by Jeremey Arnold (Paperback)

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

Deciphering Data Architectures - by James Serra (Paperback)