Katharine Jarmul Knihy

With the increasing pressure from privacy regulations and data breaches, understanding modern privacy tools is crucial. This guide explores essential concepts like differential privacy, federated learning, and encrypted computation. It offers practical advice and best practices for effectively integrating these privacy-enhancing technologies into data systems. By sharing hard-won lessons, the book addresses critical questions about data privacy, making it a valuable resource for navigating the complexities of ensuring data protection in production environments.

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non- programmers like you how to process information that's initially too messy or difficult to access.