DSCI304
INTRODUCTION TO DATA SCIENCE
- Department
- Data Science
- Terms offered
- 4
- Data refreshed
- Jun 27, 2026
Description
Data is the fuel of the modern economy! An organization's ability to manage data and generate insights enables better decision-making. In this course, we introduce a number of concepts, methods, and tools purposed with extracting information from data as we go through key issues in Data Science. We cover data representations in Python, visualizing data, statistics and probability, data gathering and processing, intro to machine learning, natural language processing, retrieval, and data ethics. Students will gain hands-on experience in the data science process: posing questions, gathering data, developing analyses, articulating and presenting data-informed decisions.
Syllabi
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Offerings and forecast 2023–2026
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: 64% chance, low confidence. Offered in every spring term since 2023. Department course count rising about 16% per year. Department faculty is about 55% above its recent average. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 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: 68% chance, low confidence. Offered in every spring term since 2023. Department course count rising about 22% per year. Department faculty is about 69% above its recent average. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 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: 72% chance, low confidence. Offered in every spring term since 2023. Department course count rising about 21% per year. Department faculty is about 76% above its recent average. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 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: 75% chance, low confidence. Offered in every spring term since 2023. Department course count rising about 21% per year. Department faculty is about 76% above its recent average. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | Not offered | 1 section | Not offered | No data |
| 2025 | Not offered | 1 section | Not offered | Not offered |
| 2024 | Not offered | 1 section | Not offered | Not offered |
| 2023 | Not offered | 1 section | Not offered | Not offered |
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession More sections Not offered No data
Meeting times
Recent first- Tue, Fri, 2:50 PM–4:05 PM MACD117 2026-22025-1
- Fri, 1:25 PM–2:40 PM MACD002 2026-1
- Tue, 4:15 PM–5:30 PM MACD002 2025-2
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2026 | Shuo Niu (He/Him) | Lecture | 1 | 0 of 30 enrolled | 32644 |
| Spring 2025 | Shuo Niu (He/Him) | Lecture | 1 | 0 of 30 enrolled | 32644 |
| Spring 2024 | Shuo Niu (He/Him) | Lecture | 1 | 0 of 30 enrolled | 32644 |
| Spring 2023 | Gary F. Holness | Lecture | 1 | 2 of 24 enrolled | 32644 |