TransfermaticCSIT at Palomar College

    CSIT 128 - Foundations of Data Science

    Recent Professors
    Not yet assigned
    Recent Semesters
    No scheduled sections on record
    Class Size
    Not published
    Credits
    4
    Prerequisite
    Prerequisite: MATH 115 or MATH 115E or STAT C1000 or STAT C1000E or MATH C2210 or MATH C2210E or MATH 127 or MATH 135 or Eligibility determined by the Math placement process. Recommended Preparation: CSIT 175
    Transfers To
    UC and CSUCal-GETC Area 2 · IGETC Area 2A · CSU GE Area B4
    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.