MATH 220C - Introduction to Data Science with R

    Recent Professors
    Alma Castro
    Recent Semesters
    Spring 2027
    Class Size
    30 students
    Difficulty
    6.8Demandingout of 10
    Credits
    4
    Prerequisite
    MATH 141 C or MATH 141 PC or STAT C1000 (MATH 120 C) or MATH 120PC or MATH 126 C , or their equivalents, with a grade of C or better, or by the evaluation of the college's multiple measures placement process
    Spring 2027 Sections
    View Spring 2027 sections of MATH 220C
    Transfers To
    CSUCSU GE Area B4
    Description
    Proof of prerequisites is required. Note: Students majoring in Engineering, Science or Math should be taking MATH 141 C or MATH 141PC rather than STAC C1000 (MATH 120 C) or MATH 120PC or MATH 126 C . This course is an introduction to foundations of data science. Topics include data collection, data wrangling, exploratory analysis and visualization, introduction to statistical modeling, prediction and classification, and model outcome interpretations. Applications include real data from a wide range of fields following reproducible practice. Students will use computer software for statistical analysis of various topics. This course requires the use of the software R and Rstudio. (CSU/UC, AA GE)
    Usually Held
    Mon Wed 12:00pm–2:05pm