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Statistics and Data ScienceSTAT 202-DL : Introduction to Statistics and Data Science
Description
This course provides an introduction to probability and statistics theory. Assignments and projects help develop students’ analytic and critical thinking skills and challenge them to apply statistical analysis with real world data.
The course contains three parts: methods of data collection, techniques for data organization and analysis, and techniques for interpreting data using statistical methodologies. Students will learn not only how to appropriately collect and analyze data, but how to draw conclusions from their data for use in decision-making. The course emphasizes use of Microsoft Excel for graphing and data analysis in homework assignments. Students will also collect and analyze a data set of personal interest for the final project. A final paper will also be prepared.
Microsoft Excel and PowerPoint techniques relevant to the final project will be taught in class, however, a basic understanding of these applications is expected.
This course is conducted completely online. A technology fee will be added to tuition.
Northwestern students who are not in the School of Professional Studies must obtain consent from their college adviser, Dean’s Office, or program to enroll in this course.
Summer 2024 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
06/17/24 - 08/25/24 | Asynch | Asynch | 20 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Bailey, John Michael | Online | Open | 42312 |