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Statistics

Statistics courses may carry social science or science credit. Statistics courses may not be audited.


STAT 202-CN : Introduction to Statistics


Description

This course provides an introduction to probability and statistics theory and foundational data science applications. Assignments and a final project help develop students’ analytic and critical thinking skills and challenge them to apply statistical analysis techniques to practical data sets from across industries. The course consists of three segments: data collection and sampling, descriptive analysis including charts, graphs, and measures of average and variation, and predictive analysis including probability, the normal curve and statistical testing. Students learn how to appropriately collect and analyze data, and how to draw meaningful insights for business and research applications. Students demonstrate proficiency with statistical theory and analysis techniques using Microsoft Excel to analyze real world data sets, providing a strong foundation for advanced data science applications.

This course has in-person meetings scheduled for alternate Thursdays on: 3/28, 4/11, 4/25, 5/9 and 5/23.

[This course has been cancelled as of March 21, 2024]


Spring 2024
Start/End DatesDay(s)TimeBuildingSection
03/25/24 - 06/08/24Th
6:15 – 9:15 p.m.Wieboldt Hall 71114
InstructorCourse LocationStatusCAESAR Course ID
Lassa, Jerome
Chicago Campus
Cancelled
Schedule Notes :

This course meets on campus alternate Thursdays on: 3/28, 4/11, 4/25, 5/9 and 5/23.

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