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Augustana College · 4.0 credits · UGRD

(Q) The course objective is to ensure that students gain knowledge and skills to gather, store, and manipulate data to conduct an analytical study including describing events that have already occurred, utilizing predictive and prescriptive analytical approaches, and exploiting the results. Topics include an overview of business analytics, decision support systems, business intelligence, data science, artificial intelligence, data mining, predictive analytics, prescriptive analytics, big data, and ethics. Spreadsheet and data analytics software are utilized.
Fall 2026 · 3 sections
Aug 31 – Dec 11
| Section | Days & time | Location | Instructor |
|---|---|---|---|
| 01Class #91792 | Tu Th · 10:25 AM – 12:05 PM | Evald Hall 017 | Downey, Michael |
| 01 notes: Instructional method: Lecture | |||
| 03Class #91794 | |||
| Mo We Fr · 8:30 – 9:45 AM |
| Evald Hall 017 |
| Coe, Marty; Chandra, Naren |
| 03 notes: Instructional method: Lecture |
| 04Class #93689 | Mo We Fr · 11:30 AM – 12:45 PM | Evald Hall 017 | Coe, Marty; Chandra, Naren |
|---|---|---|---|
| 04 notes: Instructional method: Lecture | |||