CSEC0202
PRACTICAL DATA ANALYSIS
- Department
- Cybersecurity
- Terms offered
- 1
- Data refreshed
- Jun 27, 2026
Description
This course equips aspiring and current entrepreneurs with practical data analysis skills tailored to small business challenges. Recognizing that many ventures lack formal data collection, the curriculum leverages Generative AI (GenAI) as a strategic partner for generating simulated data, clarifying concepts, and assisting in analysis. Students learn to prompt GenAI to create realistic datasets for specific business concepts, then apply cloud-based tools to clean, analyze, visualize, and interpret the information. The course culminates in the production of a data-informed business plan component, cultivating an essential skill set for evidence-based decision-making.
Syllabi
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Offering history & forecast 2026
2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: not enough history to forecast. | 2030 Intersession: not enough history to forecast. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: not enough history to forecast. | 2029 Intersession: not enough history to forecast. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: not enough history to forecast. | 2028 Intersession: not enough history to forecast. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: not enough history to forecast. | 2027 Intersession: not enough history to forecast. |
| 2026 | Not offered | Not offered | 1 section | No data for this term |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first- Wed, 6:00 PM–9:00 PM Jefferson Academic Center JF400 2026
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Summer 2026 | Li Han | Lecture | 0.5 | 9 of 10 enrolled | 12320 |