Course Catalog Information (24-25)
CIS 9
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.
Student Learning Outcomes
- Collect, clean, analyze, and visualize data to meet and defend a measured objective.
- Gather data and choose a model to train and tune the machine learning tool and interpret the result.
Course Details
- Units
- 4.5 Units
- Hours
- Weekly Lecture Hours: 4
- Weekly Lab Hours: 1.5
- Gen Ed
- Non-GE Class
- Program Status
- Program Applicable
- Credit
- Credit - Degree Applicable
- Transferability
- Transferable to both UC and CSU
- Grading Method
- Letter Grading
Requisite and Advisory
- Prerequisite(s)
- CIS 41A
- Corequisite(s)
- Advisory(ies)
Limitations on Enrollment and Entrance Skills
- Limitation(s) on Enrollment
- .