STAT 442
Statistical Learning and Data Mining Spring 2020
Division III Quantative/Formal Reasoning

Class Details

In both science and industry today, the ability to collect and store data can outpace our ability to analyze it. Traditional techniques in statistics are often unable to cope with the size and complexity of today’s data bases and data warehouses. New methodologies in Statistics have recently been developed, designed to address these inadequacies, emphasizing visualization, exploration and empirical model building at the expense of traditional hypothesis testing. In this course we will examine these new techniques and apply them to a variety of real data sets.
The Class: Format: lecture
Limit: 14
Expected: 10
Class#: 3568
Grading: no pass/fail option, no fifth course option
Requirements/Evaluation: homeworks and projects
Prerequisites: STAT 346 or permission of instructor
Enrollment Preferences: seniors and Statistics Majors
Distributions: Division III Quantative/Formal Reasoning

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