Scientific thinking. Accessible learning. Responsible AI.email@data-sense.org

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Assets

For new programmers

Begin with variables, conditions, loops and functions. For each concept, predict a program’s output before running it, then explain why the result occurred.

For new data practitioners

Practice asking what a row represents, where missing values come from, what a chart hides and whether a measured relationship supports a decision.

For new AI builders

Keep a simple baseline. Define how results will be reviewed. Record failures and the data behind them. Consider privacy and real users before sharing a demonstration.

Where to go next

Visit the Academy for learning pathways, the Code Lab for a drafting exercise and the Research page for methods and open questions.