CSEC1800
INTRO DATA ANALYTICS
- Department
- Cybersecurity
- Terms offered
- 4
- Data refreshed
- Jun 27, 2026
Description
Data Analytics is an essential process/technique that provides a wealth of information for organizational survival. E.g., exploring and analyzing data can help identify trends to make decisions critical to business success, cure ailments, predict weather circumstances, model ecosystems, and forecast election results. This course provides a hands-on introduction to Data Analytics. It covers the skills required to assemble analysis flow diagrams, including data gathering, processing, and analyzing large volumes of data to generate insights that inform decisions making. The student will learn the fundamental theoretical underpinnings behind modern data analytics. As the class advances, students will learn some of the most effective data analytics methods and put them into practice addressing real-world scenarios. The rich tool set of SAS Enterprise Miner will be used to practice data analytics techniques in this course.
Syllabi
Sign in with your @clarku.edu email to view syllabi.
Offering history & forecast 2023–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 7% chance, medium confidence. Offered in 0 of 9 fall terms since 2018. | 2030 Spring: 7% chance, medium confidence. Offered in 0 of 9 spring terms since 2018. | 2030 Summer: 64% chance, low confidence. Offered in every summer term since 2023. Department course count rising about 15% per year. Department faculty is about 52% above its recent average. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: 6% chance, medium confidence. Offered in 0 of 10 fall terms since 2017. | 2029 Spring: 6% chance, medium confidence. Offered in 0 of 10 spring terms since 2017. | 2029 Summer: 68% chance, low confidence. Offered in every summer term since 2023. Department course count rising about 15% per year. Department faculty is about 52% above its recent average. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: 5% chance, medium confidence. Offered in 0 of 11 fall terms since 2016. | 2028 Spring: 5% chance, medium confidence. Offered in 0 of 11 spring terms since 2016. | 2028 Summer: 72% chance, low confidence. Offered in every summer term since 2023. Department course count rising about 15% per year. Department faculty is about 52% above its recent average. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: 5% chance, high confidence. Offered in 0 of 12 fall terms since 2015. | 2027 Spring: 5% chance, high confidence. Offered in 0 of 12 spring terms since 2015. | 2027 Summer: 75% chance, low confidence. Offered in every summer term since 2023. Department course count rising about 15% per year. Department faculty is about 52% above its recent average. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | Not offered | Not offered | 1 section | No data for this term |
| 2025 | Not offered | Not offered | 1 section | Not offered |
| 2024 | Not offered | Not offered | 1 section | Not offered |
| 2023 | Not offered | Not offered | 1 section | Not offered |
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- Tue, Thu, 1:00 PM–4:00 PM MACD412 20262025
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Summer 2026 | Hassan A. Musafer | Lecture | 1 | 3 of 25 enrolled | 12022 |
| Summer 2025 | Hassan A. Musafer | Lecture | 1 | 10 of 25 enrolled | 12022 |
| Summer 2024 | Hassan A. Musafer | Lecture | 1 | 11 of 20 enrolled | 11721 |
| Summer 2023 | Yasir Kaheil | Lecture | 1 | 8 of 30 enrolled | 11516 |