MATH 211 – Introduction to Data Science (CRN: 56007)
at Skyline College for Summer 2026
Please Note
MATH 211 Introduction to Data Science An introduction to the foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. The course teaches critical concepts and skills in computer programming and statistical inference in conjunction with hands-on analysis of real-world datasets, as well as social issues surrounding data analysis such as privacy and design. AA/AS Degree Requirements: Area 9A3 Transfer
Units: 4
Lecture hours/semester: 48-54
Lab hours/semester: 48-54
Homework hours/semester: 96-108
Recommended: MATH 200 with a minimum grade of C, or equivalent.
Credit: CSU (CSU GE Area B4), UC (IGETC Area 2A)
Grade Mode: {"L":"Letter Graded-Degree Applicabl"}
Units: 4
Department: Mathematics
Transfer Credit: CSU
| Instructor | Meeting Date | Meeting Time | Days | Building | Room | Section | Section Description |
|---|---|---|---|---|---|---|---|
| Kayvan Momeni | 06/08 - 07/23 | 3:50pm-5:35pm | M, T, W, Th | Virtual | Remote | Y7H | Online |
| Kayvan Momeni | 06/08 - 07/23 | 2:10pm-3:50pm | M, T, W, Th | Virtual | Remote | Y7H | Online |
| Event | Date |
|---|---|
| Last Day to Add | June 10, 2026 |
| Last day to drop with a refund | June 10, 2026 |
| Last Day to drop without W Grade | June 15, 2026 |
| Last Day to drop with W Grade | July 13, 2026 |