STSCI 2100 Introductory Statistics and Data Science
Course description
Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data exploration and display, data gathering methods, probability, and statistical inference methods through contingency tables and linear regression. The emphasis is on thinking scientifically, understanding what is commonly done with data (and doing some of it for yourself), and laying a foundation for further study. Students learn to use statistical software and simulation tools to discover fundamental results. They use computers regularly; the test includes both multimedia materials and a software package. This course does not focus on data from any particular discipline, but will use real-world examples from a wide variety of disciplines and current events.
Students may receive credit for only one course in the following group: AEM 2100, BTRY 3010, BTRY 6010, ENGRD 2700, HADM 2010, HADM2011, ILRST 2100/STSCI 2100, ILRST 6100, MATH 1710, PUBPOL 2100, PUBPOL 2101 SOC 3010, STSCI 2150, STSCI 2200.
Prerequisites
Introductory algebra.
Winter 2025: Online course
| Section ID: | STSCI 2100 001-LEC |
| Number: | 1125 |
| Session: | 3-week Winter session |
| Class dates: | January 2-18, 2025 |
| Final exam/project due: | Saturday January 18, 9 AM - 12 PM / Online (see Final exams) |
| Time / room: | M-F 9 AM - 11:55 AM / Online |
| Mode of instruction: | Online (sync) |
| Credit: | 4 |
| Instructor: | DiCiccio, T. (tjd9) Entner, J. (jfe35) |
| Related: | STSCI 2100 201-DIS |
| Related: | Cross-listed with ILRST 2100 001-LEC |
| To enroll: |
See Online Learning FAQs. This course is open to all registrants, including undergraduates and precollege students. |
Winter 2025: Online course
| Section ID: | STSCI 2100 201-DIS |
| Number: | 1126 |
| Session: | 3-week Winter session |
| Class dates: | January 2-18, 2025 |
| Final exam/project due: | Friday January 17, 12 PM - 1 PM / Online (see Final exams) |
| Time / room: | M-F 12 PM - 1 PM / Online |
| Mode of instruction: | Online (sync) |
| Credit: | 0 |
| Grade: | Graded (no audit) |
| Instructor: | DiCiccio, T. (tjd9) Entner, J. (jfe35) |
| Max. enroll: | 120 |
| Related: | You will be auto-enrolled in STSCI 2100 001-LEC |
| Related: | Cross-listed with ILRST 2100 201-DIS |
| To enroll: | See Register and Dates & Deadlines for enrollment information. See Online Learning FAQs. This course is open to all registrants, including undergraduates and precollege students. |