MATH 118 - Data Science for All

Prerequisite: MATH 107 or equivalent based on SBCC's Assessment Center placement via multiple measures.

Introduction to data science using real-world data sets from a variety of disciplines while also presenting inherent uncertainties and issues associated with exploring data. Exposes students to foundational statistical concepts and inferential thinking by learning computation methods in a commonly used programming language such as Python.

Text Books/Course Materials
Important Section Information
Section Information as of 20-MAY-2026 12:05:17 PM

  • Title: MATH 118 Data Science for All
  • CRN: 43806
  • Instructor: Nathalie Guebels
  • Instructor: Nathalie Guebels (Lab)
  • Instructor: Andrea Cullinen
  • Instructor: Andrea Cullinen (Lab)
  • Classroom/Web Instructional Method
  • Section Corequisites: NONE
  • Bldg/Room: H 244 Humanities Building

    • Meeting Time
    M W 02:15pm - 03:45pm 244 Humanities Building 08/25/25 12/13/25
    2.9 hours/week
    Seating Availability
    Waitlist Availability
    Capacity Taken Available Capacity Taken Available
    24 10 14 0 0 0
    Critical Dates for this Course
    Term: Fall 2025
    Last day to add class: 06-SEP-25
    Last day to drop with an enrollment refund: 06-SEP-25
    Last day to drop without a "W": 07-SEP-25
    Last day to drop with a "W": 24-OCT-25
    Crosslisted Sections
    CRN Course Title
    43805 CS118 Data Science for All
    Seating Availablity
    Capacity Taken Available
    24 18 6
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    SBCC 8.2