Basic techniques of data harvesting and cleaning; association rules, classification, clustering; analyze, manipulate, visualize data using programming languages. Basic principles of probability and statistical modeling/inference to make meaning out of large datasets. No credit given after STAT 200 or greater. Cross-listed with: CS 087.
Open to Degree and CDE students; Cross listed with CS 087 B; Total combined enrollment: 40
This course is an introduction to the field of Data Science for students with no experience in computer coding and statistics.
In this course, you will learn to: • Analyze and manipulate data with the computer language, R • Understand the basic principles of probability and statistical modeling • Enable you to make meaning out of large data sets • Make better-informed decisions in business, research, and life.
Students are assessed using Homework, Quizzes, and a Group Project
Morrill Hall 010 (View Campus Map)
to on Monday, Wednesday and Friday
Note: These dates may change before registration begins.
Note: These dates may not be accurate for select courses during the Summer Session.
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