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COMP 180 - Introduction to Data Science

Description
An introduction to the principles and tools of data science focusing on exploratory data analysis. Topics include types of variables, mathematical representations of data, data wrangling and transformations, data visualization, supervised and unsupervised machine learning, and cross-validation. The course will include an introduction to the R statistical environment. No prior programming experience is required.
Credits
1
Attributes
Quantitative Reasoning, ENST Foundations (ESFN)
Recent Professors
Open Seat Checker
Schedule Planner
Recent Semesters
Fall 2021, Spring 2021, Fall 2020
Offered
TuTh
Avg. Class Size
24
Avg. Sections
1