DSCI125
INTRODUCTION TO DATA SCIENCE
Also listed under 1 other title
- LAB: INTRO TO DATA SCIENCE
- Department
- Data Science
- Terms offered
- 8
- Data refreshed
- Jun 30, 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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Offering history & forecast 2019–2026
2019 2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 32% chance, medium confidence. Offered in 3 of 8 fall terms since 2019. Department course count rising about 18% per year. Department faculty is about 61% above its recent average. | 2030 Spring: 61% chance, medium confidence. Offered in 5 of 7 spring terms since 2020. 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: 32% chance, medium confidence. Offered in 3 of 8 fall terms since 2019. Department course count rising about 25% per year. Department faculty is about 76% above its recent average. | 2029 Spring: 63% chance, medium confidence. Offered in 5 of 7 spring terms since 2020. 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: 33% chance, medium confidence. Offered in 3 of 8 fall terms since 2019. Department course count rising about 26% per year. Department faculty is about 87% above its recent average. | 2028 Spring: 66% chance, medium confidence. Offered in 5 of 7 spring terms since 2020. 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: 33% chance, medium confidence. Offered in 3 of 8 fall terms since 2019. Department course count rising about 26% per year. Department faculty is about 97% above its recent average. | 2027 Spring: 69% chance, medium confidence. Offered in 5 of 7 spring terms since 2020. 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 for this term |
| 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 |
| 2022 | 1 section | Not offered | Not offered | Not offered |
| 2021 | Not offered | Not offered | Not offered | Not offered |
| 2020 | 1 section | 1 section | Not offered | Not offered |
| 2019 | 1 section | Not offered | Not offered | No data for this term |
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession Darker means more sections Not offered No data for 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- 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
- Mon, Fri, 9:00 AM–10:15 AM Jefferson Academic Center JF218 2020-12020-12020-2
- Wed, 9:00 AM–10:15 AM ONLINE 2020-2
- Wed, 9:00 AM–10:15 AM BP310 2020-3
- Mon, Fri, 10:25 AM–11:40 AM BP326 2019-1
- Fri, 12:00 PM–1:15 PM BP310 2019-2
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2026 | Shuo Niu (He/Him) | Lecture | 1 | 12 of 30 enrolled | 32643 |
| Spring 2025 | Shuo Niu (He/Him) | Lecture | 1 | 27 of 30 enrolled | 32643 |
| Spring 2024 | Shuo Niu (He/Him) | Lecture | 1 | 29 of 30 enrolled | 32643 |
| Spring 2023 | Gary F. Holness | Lecture | 1 | 21 of 24 enrolled | 32643 |
| Fall 2022 | Gary F. Holness | Lecture | 1 | 18 of 24 enrolled | 21746 |
| Fall 2020 | Shuo Niu (He/Him) | Lecture | 1 | 22 of 22 enrolled | 27330 |
| Spring 2020 | Shuo Niu (He/Him) | Lecture | 1 | 24 of 24 enrolled | 37825 |
| Fall 2019 | Li Han | Lecture | 1 | 28 of 24 enrolled | 27330 |
No-credit sessions
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2020 | Shuo Niu (He/Him) | Lab | - | 24 of 24 enrolled | 37826 |