Course Description: An introduction to statistical data analysis with modern techniques, including the Python programming language on Windows computers for students with no prior experience in programming. Topics include concepts and methods to characterize experimental data such as averages, variances, standard deviations, propagation of uncertainties, probability distributions, confidence intervals, hypothesis testing, chi-squared minimization, and straight line fitting. Emphasis on practical data centric applications–preparation for experimental laboratory work and research.

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