INFO511
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INFO511 - Foundations of Data Science
Course ID
043170
Course Description
This course presents fundamental aspects of data science, including Python programming (e.g., data collection, cleaning, visualization), statistics, and mathematics (e.g., linear algebra and calculus). The course establishes the foundation for advanced data-intensive classes, providing both theoretical understanding and practical knowledge essential for comprehending Data Science and its applications.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Requisites
Students should be comfortable with mathematical functions of one and two variables, should have at least some familiarity with basic concepts of probability and experience with a programming language.
Component
Lecture
Optional Component
No