Data Governance & Privacy
Navigate the complex landscape of data governance, privacy regulation, and institutional responsibility — from GDPR and the EU AI Act to privacy by design, data stewardship, compliance automation, and cross-border data flows.
10 chapters across 3 books
What Is Privacy?
Data & Society
Data Collection and Consent
Data & Society
The Regulatory Landscape
Data & Society
The EU AI Act
Data & Society
Data Governance Frameworks
Data & Society
Building a Data Ethics Program
Data & Society
Data Privacy in RegTech
RegTech
The EU AI Act
RegTech
Data Privacy Fundamentals
AI Ethics
Global AI Governance
AI Ethics
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Machine Learning 16 chapters Python for Data Science 8 chapters Neural Networks & Deep Learning 9 chapters Probability & Statistics 10 chapters Sports Betting Analytics 16 chapters Natural Language Processing (NLP) 12 chapters Data Visualization 9 chapters Sports Analytics 14 chapters Predictive Modeling & Forecasting 17 chapters Computer Vision 8 chapters AI-Assisted Software Development 12 chapters AI Agents & Autonomous Systems 6 chapters Software Engineering Best Practices 11 chapters AI Ethics & Governance 14 chapters Cybersecurity & Ethical Hacking 13 chapters Applied Psychology 12 chapters Python for Business 10 chapters Working with AI Tools 12 chapters Creator Economy & Digital Entrepreneurship 11 chapters Conflict Resolution & Communication 9 chapters Fan Studies & Internet Culture 11 chapters Luck, Probability & Decision-Making 10 chapters Home Systems & Maintenance 9 chapters Regulatory Technology & Compliance 10 chapters