Introduction to Data Science

Course Description

This course is an introduction to data science, which covers data analytics and machine learning. Topics covered include data gathering and data wrangling, data assessment and visualization, supervised and unsupervised machine learning, natural language processing.

Class Details

CRN Course Section Days Times Instructor Loc
36797 CIS 9 01Z ·T·R··· 03:30 PM-04:20 PM Clare Nguyen ONLINE
······· TBA-TBA
······· TBA-TBA

Class Materials: View textbook and/or other materials for this course available at the Bookstore.
Class Dates: This class runs from 2024-01-08 to 2024-03-29.
CIS -009.-01Z: Fully ONLINE. This is an online lecture, laboratory class. 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. Exams will occur during the lecture day/time. These are monitored, online exams. Students must have access to a computer with a webcam, the internet, and an individual email address. 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. Most De Anza classes will use the Canvas course management system. Information about Canvas and Online Education Orientation can be found in Canvas on the Student Resources page: . The Student Online Resources hub with extensive information and tips can be found at learning. ***Please complete the form found at if you feel that you can evidence equivalent coursework and/or job experience that meet the prerequisites for this course.****

Course Details

4.5 Units
  • Weekly Lecture Hours: 4
  • Weekly Lab Hours: 1.5
Gen Ed
Non-GE Class
Program Status
Program Applicable
Credit - Degree Applicable
Grading Method
Letter Grading

Requisite and Advisory

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