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 |
|---|---|---|---|---|---|---|
| 49758 | CIS 311 | 11Z | M·W···· | 01:30 PM-02:20 PM | Mary Pape | ONLINE |
| ······· | TBA-TBA | |||||
| ······· | TBA-TBA |
Class Dates: This class runs from 2026-04-06 to 2026-06-26.
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
