Western University DS1000A/B — free practice

Work on numerical summaries, normal areas, sampling, confidence intervals and supplied regression lines. Python, data visualization and bootstrap labs in the official course need its own resources.

Untimed self-study · calculators allowed for these original exercises

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Official course sources

Independent, original, free self-study practice. Not affiliated with or endorsed by this university; these are not official exam questions. Topic alignment does not establish transfer credit, a current section’s weekly syllabus, full course coverage or a grade prediction. Follow your instructor’s rules and use official course materials for assessed work. No live AI chat or paid access is required.

What is not covered

Numerical foundations only; no Python notebooks, graphics, randomization/bootstrap, real-data projects or statistical critique. Summer 2026 does not establish the current fall/winter lab sequence. DS1000 is not the former SS1024 course code.