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

CRN Course Section Days Times Instructor Loc
39612 CIS 11 01Y ·T····· 04:00 PM-04:50 PM Doug Case AT205
···R··· 04:00 PM-04:50 PM ONLINE
······· TBA-TBA ONLINE
······· TBA-TBA ONLINE

Class Dates: This class runs from 2026-01-05 to 2026-03-27.
Footnote:
CIS -011-01Y: HYBRID, meets on-campus and online. This class meets each week on campus and online as noted in the class listing. 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 .

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
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