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 14-JAN-2026 02:01:29 AM

  • Title: MATH 118 Data Science for All
  • CRN: 67705
  • 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
    W 01:00pm - 04:00pm 244 Humanities Building 01/27/25 05/24/25
    3.4 hours/week
    Seating Availability
    Waitlist Availability
    Capacity Taken Available Capacity Taken Available
    24 1 23 0 0 0
    Critical Dates for this Course
    Term: Spring 2025
    Last day to add class: 08-FEB-2025
    Last day to drop with an enrollment refund: 08-FEB-2025
    Last day to drop without a "W": 09-FEB-2025
    Last day to drop with a "W": 04-APR-2025
    Crosslisted Sections
    CRN Course Title
    67704 CS118 Data Science for All
    Seating Availablity
    Capacity Taken Available
    24 10 14
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    SBCC 8.2