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.
Dates: May 22 - June 30, 2023; Cross listed with CS 087 OL1; Total Enrollment: 40; Stats: 20, CS: 20; Open to Degree and PACE students; No credit given after completing STAT 200. Asynchronous online
Please contact the instructor for information about this course.
Online (View Campus Map)
Note: These dates may change before registration begins.
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|CS 008 OL1||Computer Science: QR: Intro to Web Site Dev||to||N/A||See Notes||3||60001|
|CS 021 OL1||Computer Science: QR:Cmptr Programming I: Python||to||N/A||See Notes||3||60002|
|STAT 051 OL1||Statistics: QR:Probability With Statistics||to||N/A||See Notes||3||61550|
|STAT 111 OL1||Statistics: QR: Elements of Statistics||to||N/A||See Notes||3||61552|
|STAT 111 OL2||Statistics: QR: Elements of Statistics||to||N/A||See Notes||3||61553|
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