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Statistics for Lab Scientists

This module offers an easy introduction to key concepts in statistics. Laboratory staff will learn to to efficiently visualize data, detect trends and outliers. They will also learn how to best summarize data. Statistical testing will be demystified: risks (alpha and beta), p-values, statistical significance, confidence and power are defined and illustrated. 

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Fundamental Statistical Tools for Engineers

Learn key concepts in statistics. Classical and more recent exploratory data analysis techniques to efficiently summarise data and to detect outliers are covered. Statistical testing and decision-making in the presence of variation are also discussed.

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Fundamentals Statistical Tools for Research

An easy intro to key statistical concepts. Learn about data visualisation & outlier detection. Demystify statistical significance testing - p-values, significance, power, confidence, etc. An excellent introductory module and a solid basis for all other courses.

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