python business analytics

Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb) - (Paperback)

Nature-Inspired Computation and Swarm Intelligence - by Xin-She Yang (Paperback)

The Well-Grounded Data Analyst - by David Asboth (Paperback)

Microsoft 365 PowerPoint for Dummies - 2nd Edition by Doug Lowe (Paperback)

Data Quality Fundamentals - by Barr Moses & Lior Gavish & Molly Vorwerck (Paperback)

Cassandra: The Definitive Guide, (Revised) Third Edition - 3rd Edition by Jeff Carpenter & Eben Hewitt (Paperback)

Datenbank-Tuning - by Stefan Florczyk (Hardcover)

Micropython for the Internet of Things - 2nd Edition by Charles Bell (Paperback)

Data Governance - 2nd Edition by John Ladley (Paperback)

Learning Tableau 2020 - 4th Edition by Joshua N Milligan (Paperback)

AI & Data Literacy - by Bill Schmarzo (Paperback)

Databricks Lakehouse Platform Cookbook - by Alan L Dennis (Paperback)

Microsoft Power BI Performance Best Practices - Second Edition - 2nd Edition by Thomas Leblanc & Bhavik Merchant (Paperback)

It Architecture for Dummies - (For Dummies) by Kalani Kirk Hausman & Susan L Cook (Paperback)

Data Science Programming All-In-One FD P - by John Paul Mueller (Paperback)

Power Bi for the Excel Analyst - by Wyn Hopkins (Paperback)

Beautiful Visualization - by Julie Steele & Noah Iliinsky (Paperback)

Deep Learning and Parallel Computing Environment for Bioengineering Systems - by Arun Kumar Sangaiah (Paperback)

Enter Prompt - by Sidharth Sreekumar & Barsali Bhattacharyya (Paperback)

Data Science - by Richard Hurley (Hardcover)

Foundations of Pygtk Development - 2nd Edition by W David Ashley & Andrew Krause (Paperback)

Excel Macros for Dummies - 3rd Edition by Dick Kusleika (Paperback)

Pandas Workout - by Reuven Lerner (Paperback)

Coding for Beginners in Easy Steps - (In Easy Steps) 3rd Edition by Mike McGrath (Paperback)