Media & Data Intelligence

Structuring Machine Learning Projects

Andrew Ng's course on structuring ML projects — error analysis, train/dev/test splits, and how to diagnose and fix underperforming models. Essential for data and intelligence teams building production models on media and behavioral datasets.

Machine Learning Crash Course

Google's self-study guide to machine learning using TensorFlow — covering core ML concepts, fairness, and responsible AI. A fast and practical introduction for data and intelligence teams building recommendation, classification, and ranking models.

IBM Data Science Professional Certificate

IBM's ten-course professional certificate covering the full data science stack — Python, SQL, data visualization, ML, and applied data science projects. A foundational credential for analysts transitioning to AI-augmented intelligence and media data roles.

Storytelling with Data: A Data Visualization Guide for Business Professionals

The standard reference for communicating with data — covering chart selection, audience awareness, and narrative structure. Essential for MDI teams whose AI outputs must be understood by non-technical stakeholders and regulators.

Data Feminism

A framework for examining whose data is collected, how it is analyzed, and who benefits — directly applicable to media and intelligence organizations building data products that must account for representation, bias, and power in their datasets.

Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

A data scientist's exploration of what behavioral data reveals about human behavior — covering search data, social media signals, and the analytical techniques that underpin modern media intelligence and audience modeling. Accessible and data-grounded.

Hans Rosling: The Best Stats You've Ever Seen

Hans Rosling's landmark TED talk on data visualization and storytelling — demonstrating how animated data presentation transforms audience understanding. The canonical reference for MDI teams communicating AI-generated insights to non-technical stakeholders.

Data Science Full Course

IBM Technology's comprehensive introduction to data science — covering the data science lifecycle, tools, ML fundamentals, and industry applications. A practical orientation for media and intelligence analysts building data fluency for AI-augmented workflows.

Google News Initiative: AI for Journalists

Google News Initiative's training library for journalists and media professionals on using AI for newsgathering, data journalism, and content production. Covers practical tools, verification workflows, and ethical guidelines for AI-assisted journalism.

A Unified Detection Framework for AI-Related Content and Artifacts

Continual Learning With Participation Privacy: An Auditable Buffering-Aggregation Recipe

Palantir AIP

Palantir's AI Platform for integrating LLMs into enterprise workflows with full data governance and ontology management. The leading platform for government agencies, defense contractors, and highly regulated enterprises building AI-augmented intelligence operations.

Microsoft Power BI

Microsoft's business intelligence platform with Copilot AI integration — enabling natural language queries, automated report generation, and AI-powered data insights. The most widely deployed BI tool in regulated industries due to Microsoft's compliance coverage.

Perplexity AI

An AI-powered answer engine with real-time web search and cited responses — providing an alternative to traditional search for intelligence gathering and research workflows. Relevant for MDI teams building AI-augmented research and monitoring capabilities.