This course provides experience with probability distribution and regression analysis functionality available in the Wolfram Language. Topics include import and export of data, preliminary data analysis, descriptive statistics and distribution fitting, regression, generalized linear and nonlinear models and diagnostic testing. Course topics are presented in sessions of lectures, exercises and instructor-led coding sessions with real-world examples. Online classes have small class sizes and ample opportunity for Q&A. The course is for those who have a basic working knowledge of the Wolfram Language and statistical data analysis.
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- Statistical Distributions
Properties, simulation and modification of distributions, preliminary data analysis including descriptive statistics and visualization.
- Hypothesis Testing
Analyzing and comparing distributions with standard tests, fitting of data to underlying named and user-defined distributions.
- Curve Fitting
Linear and nonlinear model fitting. Comparison of models and various diagnostic tests are illustrated.
- Advanced Curve Fitting
Generalized linear models, piecewise continuous models, spline smoothing and automated curve fitting.