Work with data and artificial intelligence through self-paced courses on analytics, machine learning, and AI.
A structured introduction to agentic AI systems, from core concepts to reliable real-world workflows
A practical course in writing, refining, and productionising prompts for modern AI image tools
Design reliable AI workflows with structured prompting, role systems, reasoning chains, and reusable…
Write analytical SQL that is clearer, faster, and ready for real production data work.
A practical foundation in how machines interpret images, video, and visual patterns
Build reliable datasets by fixing, standardizing, and validating messy data before analysis
Build practical systems for data control, accountability, privacy, and regulatory readiness
A practical course on how data is stored, organized, protected, and retrieved across modern computin…
Build persuasive, decision-ready narratives from data, visuals, and business context with Professor …
Learn how to turn data into clear, credible, and compelling visuals with Professor Peter Lambert
Mastering the Foundations of Data Management
Learn how databases work, how to model data, and how to write the core SQL you need to store, query,…
Understand how tree-based models make decisions, reduce error, and support practical machine learnin…
A clear, practical introduction to how modern neural networks learn, generalize, and power real-worl…
A practical course on turning raw data into clear insights, patterns, and decisions
Turn raw business data into reliable, model-ready signals
Build practical data literacy, interpret metrics with confidence, and make better decisions from rea…
Make defensible statistical decisions from real data with confidence, clarity, and practical judgmen…
Learn the full data science workflow from raw data to practical insights, with a focus on tools, thi…
Build a practical foundation in machine learning concepts, workflows, and real-world applications wi…
A practical foundation in how computers understand, analyze, and generate human language
Learn how to turn data into forecasts, decisions, and measurable business value with Professor Antho…
A practical British-guided course with Professor Peter Lambert on building, interpreting, and valida…
A practical course in probabilistic classification, decision boundaries, model evaluation, and real-…
Build reliable dashboards, model reporting data, and communicate insights with confidence
Measure, compare, and communicate model performance with statistical discipline
An Essential Guide to Understanding and Implementing AI
A practical foundation in how machines process, represent, and generate human language
A practical, plain-English guide to how neural networks work, what they can do, and how to think abo…
Design, model, query, and operate modern NoSQL systems with confidence
Build fast, reliable numerical workflows with arrays, vectorization, and practical scientific data t…
Build confident, professional data analysis workflows with Python’s most essential data library
Build the probability intuition and methods needed to reason clearly under uncertainty
A practical course for designing clearer, safer, and more useful AI instructions
Build practical data analysis skills with Python, pandas, NumPy, visualization, and real-world workf…
Model real-world relationships with rigor, diagnostics, and practical statistical judgment
Build practical intuition for agents, rewards, policies, value functions, and modern RL methods
Query, clean, join, aggregate, and interpret data with confidence using practical SQL workflows.
A practical, data-driven foundation in inference, modeling, and decision-making with Professor Natha…
Build the statistical reasoning needed to analyze data, validate models, and make evidence-based dec…
Build clear, reliable, and interactive dashboards from real-world data
A practical, applied course with Professor Mark Davis on turning sequential data into reliable insig…
Learn how data is organized, queried, and managed with practical SQL skills for real-world applicati…
A practical course on using AI tools to investigate questions, evaluate sources, and produce reliabl…
A practical guide to charts, diagrams, dashboards, and visual thinking with Professor David Grant
Why 90% of online learners quit — and the 7 habits the 10% who finish use to keep going.
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