CS 1870 B (CRN: 93053)
Computer Science: Intro to Data Science
3 Credit Hours
For crosslists see: STAT 1870 B
About CS 1870 B
Basic techniques of data harvesting and cleaning; association rules, classification and clustering; analyze, manipulate, and visualize data using programming languages. Basic principles of probability and statistical modeling/inference to make meaning out of large datasets. Cross-listed with: STAT 1870.
Notes
Cross listed with STAT 1870 B; Total combined enrollment: 45; Open to Degree and PACE students
Section Description
Basic techniques of data harvesting and cleaning; association rules, classification, clustering; analyze, manipulate, visualize data using programming languages. Basic principles of probability and statistical modeling/inference to make meaning out of large datasets. No credit given after STAT 200 or greater.
Section Expectation
This is an in-person course. During class we will spend time coding, discussing concepts, or doing activities. We’ll work in pairs or small groups during class occasionally. Homework will be completed online, outside of class, and submitted on Blackboard. Quizzes will take place during class time.
Evaluation
Your final graded will be determined by the in class quizzes, homework assignments, and 2 exams (one midterm exam which covers modules 1 - 3 and one final exam which covers modules 4 - 6).
Important Dates
Note: These dates may change before registration begins.
Note: These dates may not be accurate for select courses during the Summer Session.
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| Last Day to Withdraw with 50% Refund | |
| Last Day to Withdraw with 25% Refund | |
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Resources
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Interest Form
CS 1870 B is closed to new enrollment.
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