Statistical methods are the foundation for data science, artificial intelligence, and much of the field of computer science. Topics include probability, random variables, regression, gradient search, Bayesian methods, graphical methods, and exponential random graph models. Student will have the foundation to excel in future courses in machine learning, data science, algorithms, and more. Practice exercises will develop proficiency in the R programming language.

Course instructor(s): 
Johnson and McColloh

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