Class Details

CIS 11
Foundations of Data Science for All

Course Description

This course builds the foundational concepts of data science for students in any major. By working with real-world data from a variety of disciplines such as economic, health, and social data, the course introduces students to basic statistical concepts and inferential thinking, as well as key programming concepts and analysis tools for exploring data.

Class Details

Class Dates: This class runs from 2026-04-06 to 2026-06-26.
Footnote:
CIS -11-01Y: HYBRID, meets on-campus and online. The lecture meets each week as noted in the class listing. The laboratory does not have scheduled meetings and can be completed independently each week on the student's own time. Students must have access to a computer, the internet and an individual email address. Most De Anza classes will use the Canvas course management system. We recommend a laptop or desktop computer to successfully complete the course; a tablet or phone may not be adequate for all assignments and tests. Information about Canvas and Online Education Orientation can be found in Canvas on the Student Resources page: https://deanza.instructure.com/courses/3382. The Student Online Resources hub with extensive information and tips can be found at deanza.edu/online-ed/students/remotelearning.ed/students/remotelearning.

Class Materials

This course either has not submitted any materials to the bookstore for use or is using Open Education Resources. Please check with the instructor.

View textbook and/or other materials available at the Bookstore.

Course Details

Units

4.5 Units

Hours

• Weekly Lecture Hours: 4
• Weekly Lab Hours: 1.5

Program Status

Program Applicable

Credit

Credit - Degree Applicable

Grading Method

Letter Grading

Requisite and Advisory

Advisory

CIS D040., STAT C1000 or STAT C1000H

Prerequisite

Intermediate algebra or equivalent (or higher), or appropriate placement beyond intermediate algebra.

Corequisite

CIS D111X