CIS 311
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 |
|---|---|---|---|---|---|---|
| 39613 | CIS 311 | 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-311-01Y: Hybrid ,meets on-campus and online as noted in the class listing. This class mirrors the for-credit class of the same number (CIS 311 mirrors CIS 11), so the course description is the same. Non-credit courses are intended for students who want to gain general knowledge, learn a new skill, upgrade existing skills, or enrich their understanding of a wide range of topics. Non-credit courses cannot be used to earn an associate degree nor any college transcriptable certificates. They can, however, be used to earn non-transcriptable certificates of completion. 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
- 0 Units
- Hours
- Weekly Lecture Hours: 4
- Weekly Lab Hours: 1.5
- Program Status
- Not Program Applicable
- Credit
- Non-credit Class
- 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 D311X