data strategy examples

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

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

Data Visualization with Excel Dashboards and Reports - by Dick Kusleika (Paperback)

Designing Data-Intensive Applications - 2nd Edition by Martin Kleppmann & Chris Riccomini (Paperback)

Efficient MySQL Performance - by Daniel Nichter (Paperback)

Understand, Manage, and Prevent Algorithmic Bias - by Tobias Baer (Paperback)

Hbr's 10 Must Reads on Data Strategy (Featuring Democratizing Transformation by Marco Iansiti and Satya Nadella) - (HBR's 10 Must Reads)

Introduction to Statistical Machine Learning - by Masashi Sugiyama (Paperback)

Data Management for Researchers - (Research Skills) by Kristin Briney (Paperback)

Data-Centric Machine Learning with Python - by Jonas Christensen & Nakul Bajaj & Manmohan Gosada (Paperback)

Python 3 and Data Visualization - by Oswald Campesato (Paperback)

Effective Data Analysis - by Mona Khalil (Paperback)

Statistical Methods in Counterterrorism - by Alyson Wilson & Gregory Wilson & David H Olwell (Paperback)

Stream Processing with Apache Spark - by Gerard Maas & Francois Garillot (Paperback)

Advanced Analytics with Spark - 2nd Edition by Sandy Ryza & Uri Laserson & Sean Owen & Josh Wills (Paperback)

Real-Time Intelligence with Microsoft Fabric - by Johan Ludvig Brattås & Frank Geisler (Paperback)

Cloud Native Geospatial Analytics with Apache Sedona - by Pawel Tokaj & Jia Yu & Mo Sarwat (Paperback)

Data Engineering for Multimodal AI - by Vasundra Srinivasan (Paperback)

ML and Generative AI in the Data Lakehouse - by Bennie Haelen (Paperback)

Ai-Ready Data Blueprints - by Navnit Shukla & Kien Pham & Srikanth Sopirala & Harsha Tadiparthi (Paperback)

Head First Algorithms and Data Structures - by Eric Freeman & Elisabeth Robson (Paperback)

Hands-On APIs for AI and Data Science - by Ryan Day (Paperback)

Feature Engineering for Machine Learning - by Alice Zheng & Amanda Casari (Paperback)