Course Description:

Provides a comprehensive introduction to the field of Data Science. Studies machine learning which is a type of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Distinguishes supervised and unsupervised machine learning (Data Mining) algorithms. Studies the emergence of massive datasets containing millions or even billions of observations which provides the primary incentive for the field, such data sets arise, for instance, in large-scale retailing, telecommunications, astronomy, engineering, health, and internet social media. Provides the key knowledge of data development, management, statistical analysis, data visualization, and inference. Recommended Prep: CS M10P or CS M10J or CS M10A or CS M125. Transfer credit: CSU;UC.

Meets General Ed Areas:

Course Corequisites:

NONE

Recommended Prep:

CS M10P or CS M10J or CS M10A or CS M125.

Section Information as of 27-OCT-2026 07:10:45 PM

• CRN: 31448
• Instructor: Nikjeh, Esmaail
• Section Corequisites: NONE
•  Participates in Zero Textbook Cost Program
• Moorpark College Map
• Delivery Mode: This is a fully online class without pre-scheduled meetings.
• Course Materials: Moorpark College Bookstore

Meeting Time and Location

Critical Dates for this Course