PROFESSIONAL EDUCATION
Learn to solve complex challenges with data
Build a classification model and interpret results
Understand the concept of hypothesis testing
Learn the intricacies of logistic regression, evaluate its outputs, and comprehend how a link function works
Work with a data set to produce a specified series of results
Perform a Principal Components Analysis (PCA) to provide meaningful insights on the original data set
Perform multiple pairwise comparisons and analyze models with multiple categorical predictors
Earn a credential certifying completion from the University of Chicago and become part of the UChicago network
Statistics for Data Science Instructor
Aspiring data scientists who would like to learn how to code
Professionals with a computer science background
Professionals looking to transition into the field of data science
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