The most valuable AI skill isn't knowing the latest model. It's knowing how to break a real problem into well-defined tasks that AI can actually solve—and that always starts with data. Rubbish in, rubbish out.

In this video, you'll learn the five dimensions of data quality (fit for purpose, completeness, accuracy, timeliness, and lineage), the difference between structured, unstructured, and semi-structured data, and the four common data types: tabular, image, text, and network. You'll also see the deliberate path from problem to data to task to method that turns AI from a black box into a systematic tool.