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MATH 211 –  Introduction to Data Science (CRN: 47577) at  Skyline College for Spring 2022

Skyline College Website Day Class Hybrid Class Zero Textbook Cost (ZTC) Class

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
Degree Credit
Letter Grade Only
  • Lecture hours/semester: 48-54
  • Lab hours/semester: 48-54
  • Homework hours/semester: 96-108
Prerequisites: MATH 130 or MATH 200 or MATH 225 or MATH 241 or equivalent.
Corequisites: None
Transfer Credit: UC, CSU

Skyline College : Map

Department: Mathematics

Number of Units: 4

Most Mathematics courses have prerequisites that are listed as part of the course description in the Schedule of Classes. Before registering for a Mathematics course, be sure you have completed the stated prerequisite.

HA - Laboratory/Studio/Activity
Meeting Date: 01/18-05/20
Meeting Time: 9:30am-10:45am
Days: T, Th
Building: 07 Room: 7304
Instructor: Kayvan Momeni
HA - Online
Meeting Date: 01/18-05/20
Meeting Time:
Building:  Virtual Room:  Remote
Instructor: Kayvan Momeni
Critical Dates for this Course Date
Last day to add class January 31, 2022
Last day to drop with a section refund January 31, 2022
Last day to drop without appearing on transcript February 6, 2022
Last day to withdraw with a W April 28, 2022
Last day to change to Pass/No Pass Grading Option May 20, 2022
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