- Subject
- DASC
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- STAT 214 or MATH 224. (F;S;SS)
DASC
10 courses with the subject DASC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) 0 Lab Hour(s) As a first course in data science, this course introduces fundamental principles and methods of data exploration, manipula Prerequisite(s): STAT 214 or MATH 224
- Subject
- DASC
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- DASC
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- STAT 324
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) 0 Lab Hour(s) This course introduces fundamental knowledge in statistical machine learning methods such as r Prerequisite(s): STAT 324 .
- Subject
- DASC
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- DASC
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- DASC 240. (F;S;SS)
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) 0 Lab Hour(s) This second course in data science will cover data wrangling, web scraping, text mining, and an introduction to predictive modeling. Topics covered will inc Prerequisite(s): DASC 240
- Subject
- DASC
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- DASC
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- DASC 340 or Consent of Instructor
Electives 9 Credit(s) Credits / Semester Total: 15 Total Credit Hours: 120 1 One course from the list of approved general education courses satisfying the Social/Behavioural Sciences requirement. 2 One course from the list of approved general education courses satisfying the Global Awareness requirement. 3 For students starting in MATH 103 , MATH 104 , or MATH 110 , the programming courses should be replaced with electives in the first year. Th 4 One course from the list of approved general education courses satisfying the African American Culture/History requirement. 5 One course from BIOL 100, CHEM 106 and CHEM 116, or PHYS 242 and PHYS 252 6 Two courses of FREN 101 , FREN 102 ; or SPAN 101 , SPAN 102 taken in sequence. 7 One course from: MATH 211 , MATH 231 , MATH 240 , or MATH 341 .
- Subject
- DASC
- Credits (min)
- 9
- Credits (max)
- 9
- Credit unit
- Units
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Subject
- DASC
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- Credit(s)
- Type
- course
- Edition
- 2025-2026
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
- Prerequisite
- DASC 328. (F;S;SS)
When Offered: F, S, SS 3 Credit(s) 3 Lecture Hour(s) This course covers mathematical, statistical, and computational approaches in statistical learning technique Prerequisite(s): DASC 328
- Subject
- DASC
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2025-2026 Undergraduate Catalog
- Catalog
- 2025-2026 Undergraduate Catalog
- Source
- catalog.ncat.edu
Source: North Carolina A & T State University's catalog, linked per course · table learning_unit · CourseShelf publish 61