data analysis with python book

Data Governance: The Definitive Guide - by Evren Eryurek & Uri Gilad & Valliappa Lakshmanan & Anita Kibunguchy-Grant & Jessi Ashdown (Paperback)

Learning AI Tools in Tableau - by Ann Jackson (Paperback)

Designing with Data - by Rochelle King & Elizabeth F Churchill & Caitlin Tan (Paperback)

Effective Machine Learning Teams - by David Tan & Ada Leung & David Colls (Paperback)

Statistics Using Python - by Oswald Campesato (Paperback)

Cost-Effective Data Pipelines - by Sev Leonard (Paperback)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

Data Analytics For Beginners - by Jonathan S Walker (Paperback)

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

Azure Data Fundamentals - by Michael John Pena (Paperback)

Hands-On Large Language Models - by Jay Alammar & Maarten Grootendorst (Paperback)

Building Data Integration Solutions - by Jay Borthen (Paperback)

Machine Learning and Data Science Blueprints for Finance - by Hariom Tatsat & Sahil Puri & Brad Lookabaugh (Paperback)

Causal Inference in Python - by Matheus Facure (Paperback)

Data Contracts - by Chad Sanderson & Mark Freeman & B E Schmidt (Paperback)

Programming Computer Vision with Python - by Jan Erik Solem (Paperback)

Tidy Modeling with R - by Max Kuhn & Julia Silge (Paperback)

Low-Code AI - by Gwendolyn Stripling & Michael Abel (Paperback)

Practical Fraud Prevention - by Gilit Saporta & Shoshana Maraney (Paperback)

Reliable Machine Learning - by Cathy Chen & Niall Richard Murphy & Kranti Parisa & D Sculley & Todd Underwood (Paperback)

R Packages - 2nd Edition by Hadley Wickham & Jennifer Bryan (Paperback)

Analyzing Categorical Data - (Springer Texts in Statistics) by Jeffrey S Simonoff (Hardcover)

Bioinformatics Data Skills - by Vince Buffalo (Paperback)

Augmented Software Design - by Kent Beck (Paperback)