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Compton College
CSCI108 - Foundation of Data Science
Course Description
This course examines the foundation of data science from three perspectives: interferential thinking, computational thinking, and real-world relevance. The course combines programming skills and statistical inference to ask questions and explore problems encountered in real-world datasets, from multiple fields of study, career paths, and everyday life. It also delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.
Transfer Information
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Tuition & Fees
Tuition:$184.00
Tuition and mandatory fees only. Financial aid may apply. Please contact your local Financial Aid Office for details.
Location
Online
Units
4.0 units
Course Sections
Seat counts change rapidly, these numbers may not reflect current seat availability.
Spring 2026
Apr 18 to Jun 12
section:
30544
Format:
Time:
TBA
Professor(s):
Jose Manuel Martinez
Live Seat Count:
10 available seats
- (about 6 hours ago)
Section notes:
This course examines the foundation of data science from three perspectives: interferential thinking, computational thinking, and real-world relevance. The course combines programming skills and statistical inference to ask questions and explore problems encountered in real-world datasets, from multiple fields of study, career paths, and everyday life. It also delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.
Tuition:$184.00
Open
Fall 2025
Oct 18 to Dec 12
section:
70606
Format:
Time:
TBA
Professor(s):
Jose Manuel Martinez
Live Seat Count:
16 available seats
- (3 months ago)
Section notes:
This course examines the foundation of data science from three perspectives: interferential thinking, computational thinking, and real-world relevance. The course combines programming skills and statistical inference to ask questions and explore problems encountered in real-world datasets, from multiple fields of study, career paths, and everyday life. It also delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.
Tuition:$184.00
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