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MATH 211 Introduction to Data Science

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Course Description

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: CSU