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Data Collection and Storage - Sources, Sampling, and Measurement Thinking | Prep4Uni.online
A concept-first introduction to collecting data responsibly and effectively. Covers data sources (surveys, sensors, logs, APIs), sampling and bias, measurement quality, and practical planning for datasets that support reliable analysis. Emphasizes that good analytics begins with well-framed questions and well-collected data.
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