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 Seats open Tuesday 04:00 PM-04:50 PM Mary Pape AT205
Thursday 04:00 PM-04:50 PM ONLINE
No set days TBA-TBA ONLINE
No set days TBA-TBA ONLINE
No set days TBA-TBA TBA TBA
No set days TBA-TBA TBA ONLINE

Class Dates: This class runs from 2027-01-04 to 2027-03-26.
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

View textbook and/or other materials at the Bookstore

Course Details

Units
0 Units
Hours
  • Weekly Lecture Hours: 4
  • Weekly Lab Hours: 1.5
Program Status
Program Applicable
Credit
Non-credit Class
Grading Method
  • Letter Grade
  • Pass/No Pass

Requisite and Advisory

Prerequisite
Intermediate algebra or equivalent (or higher), or appropriate placement beyond intermediate algebra.
Corequisite
CIS 311X
Advisory
  • CIS 40, STAT C1000 or STAT C1000H

Limitations on Enrollment and Entrance Skills

(No limit on student re-enrollment for 0 unit courses.)
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