get started with data science

Data Wrangling with SQL - by Raghav Kandarpa & Shivangi Saxena (Paperback)

Unlocking Data with Generative AI and RAG - by Keith Bourne (Paperback)

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

Developing Data Migrations and Integrations with Salesforce - by David Masri (Paperback)

Murach's Python for Data Analysis - by Scott McCoy (Paperback)

Thoughtful Data - (Paperback)

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

Discrete Mathematics and Graph Theory - (Undergraduate Topics in Computer Science) by K Erciyes (Paperback)

Data by Design - by Lauren F Klein (Hardcover)

Data Engineering with Databricks Cookbook - by Pulkit Chadha (Paperback)

Data Engineering Best Practices - by Richard J Schiller & David Larochelle (Paperback)

Python Data Cleaning and Preparation Best Practices - by Maria Zervou (Paperback)

Predicting Structured Data - (Neural Information Processing) by Gokhan Bakir & Thomas Hofmann & Bernhard Scholkopf (Paperback)

Learn AI Data Engineering - by David Melillo (Paperback)

The Data Warehouse Toolkit - 3rd Edition by Ralph Kimball & Margy Ross (Paperback)

Statistics for Big Data for Dummies - (For Dummies) by Alan Anderson (Paperback)

Grokking Data Structures - by Marcello La Rocca (Paperback)

Executing Data Quality Projects - 2nd Edition by Danette McGilvray (Paperback)

Information-Statistical Data Mining - (The Springer International Engineering and Computer Science) by Bon K Sy & Arjun K Gupta (Hardcover)

Data Engineering with Google Cloud Platform - Second Edition - 2nd Edition by Adi Wijaya (Paperback)

Data Engineering with Python - by Paul Crickard (Paperback)

Feature Selection for Knowledge Discovery and Data Mining - (The Springer International Engineering and Computer Science) (Hardcover)

Thoughtful Data - by Jonathan Schwabish & Alice Feng (Hardcover)

Data Center Handbook - 2nd Edition by Hwaiyu Geng (Hardcover)