MATH 211 – Introduction to Data Science (CRN: 98002)

at Skyline College for Fall 2025

Please Note

This information was lasted updated on December 8, 2025 at 08:55 AM and may not represent the most up-to-date course details. For more detailed and current information, visit WebSchedule 2.0

Course Information

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.

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.AA/AS Degree Requirements: Area 9A3 Transfer

Credit: CSU (CSU GE Area B4), UC (IGETC Area 2A)

Course Details

Grade Mode: {"L":"Letter Graded-Degree Applicabl"}

Units: 4

Department: Mathematics

Transfer Credit: CSU

Meeting Information

Instructor	Meeting Date	Meeting Time	Days	Building	Room	Section	Section Description
Denise Hum	08/19 - 12/02	12:35pm-3:30pm	T	08	8213	AA	Laboratory/Studio/Activity
Bryan Swartout	08/14 - 12/04	12:35pm-3:30pm	Th	08	8213	AA	Lecture and/or Discussion

Critical Dates

Event	Date
Last Day to Add	August 26, 2025
Last day to drop with a refund	August 26, 2025
Last Day to drop without W Grade	September 1, 2025
Last Day to drop with W Grade	November 12, 2025