CIS- 70A - Foundations of Data Science

    Recent Professors
    A. Zentner
    Recent Semesters
    Summer 2026
    Class Size
    Not published
    Credits
    3
    Prerequisite
    Intermediate Algebra or qualifying placement level
    Summer 2026 Sections
    View Summer 2026 sections of CIS- 70A
    Transfers To
    UC and CSUCal-GETC Area 2 · IGETC Area 2A · CSU GE Area B4
    Description
    Description: Basic programming and statistical concepts. Includes programming for data cleansing, manipulation, visualization, and statistical computation for intelligence gathering. Students will apply common built-in language functions for analysis of real-world datasets, including global and local economic data, commercial business, document collections, and social networks. Also delves into machine learning and decision making using statistical concepts like hypothesis testing, confidence intervals via bootstrapping, regression and inference for regression, and predictive modeling. Students will also learn about social issues surrounding data privacy and ownership. 54.00 hours lecture and 18.00 hours laboratory. (Same as MATH-70A) (Letter grade or Pass/No Pass option)