aws data labs

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

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

SQL for Data Scientists - by Renee M P Teate (Paperback)

Dive Into Data Science - by Bradford Tuckfield (Paperback)

Data Structures the Fun Way - by Jeremy Kubica (Paperback)

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

Screening the Operatic Stage - (Opera Lab: Explorations in History, Technology, and Performa) by Christopher Morris

Edge Computing with Amazon Web Services - by Sean Howard (Paperback)

Oracle Data Integrator 12c Developer Jump Start Guide - by Soundarapandian Murugarajan (Paperback)

Automating DevOps with GitLab CI/CD Pipelines - by Christopher Cowell & Nicholas Lotz & Chris Timberlake (Paperback)

Hands-On Healthcare Data - by Andrew Nguyen (Paperback)

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

Extending Excel with Python and R - by Steven Sanderson & David Kun (Paperback)

Data Borders - by Melissa Villa-Nicholas

Opera and the Built Environment - (Opera Lab: Explorations in History, Technology, and Performa) by Laura Vasilyeva (Paperback)

Graph Neural Networks in Action - (In Action) by Keita Broadwater & Namid Stillman (Paperback)

Analyzing Health Equity Using Household Survey Data - (Wbi Learning Resources) (Paperback)

Building a Data Integration Team - by Jarrett Goldfedder (Paperback)

Data Centre Essentials - by Vincent Fogarty & Sophia Flucker (Hardcover)

A Practical Guide to Generative AI Using Amazon Bedrock - by Avik Bhattacharjee (Paperback)

Implementing DevSecOps Practices - by Vandana Verma Sehgal (Paperback)

Beginning Data Science in R 4 - 2nd Edition by Thomas Mailund (Paperback)

Microsoft Power Bi for Dummies - by Jack A Hyman (Paperback)

Human- Centric Integration of Next-Generation Data Science and Blockchain Technology - by Amit Kumar Tyagi & Shrikant Tiwari (Paperback)