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Learn to identify and navigate statistical pitfalls in the data age through a comprehensive 15-week course exploring data interpretation, visualization, and analysis. Master critical concepts including data ubiquity, quantification challenges, statistical graph interpretation, sampling methods, measurement validity, probability distributions, and real-world case studies. Examine famous historical examples of statistical misinterpretation, from election polls to medical studies, while developing skills to recognize common traps in data presentation and analysis. Explore practical applications through diverse case studies including clinical trials, scientific experiments, and criminal investigations, building expertise in avoiding statistical fallacies and making sound data-driven decisions.
