Course: COMP 641. Fundamentals of Data Science (3)

Prerequisites: MATH 262 or equivalent; COMP 639 or MATH 340 or MATH 341 or equivalent; COMP 282 or equivalent; COMP 502. Recommended Preparatory: Knowledge of Python programming. A study of fundamental concepts, theories, techniques, and applications of data science. The focus is on the use of data science methods to improve decision making. Topics include framing business and analytics problems, process model, programming for data science applications, data wrangling, data analysis, basic machine learning techniques, data visualization, text analysis, data privacy, and ethics.

Fall-2024 - Schedule of Classes

COMP 641

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