DASC131 — Introduction to Data Science
DASC 131 - Introduction to Data Science DASC 131 - Introduction to Data Science Explores the fundamentals of data science using modern programming tools and software. Applies the data science workflow including importing, cleaning, transforming, and visualizing data, to uncover insights and communicate findings effectively. Topics include data wrangling, exploratory data analysis, ethical considerations in handling data, and basic statistical inference. Emphasizes hands-on learning through real-world datasets and projects designed for students with no prior programming experience. Builds foundational skills for working with data in a variety of fields. (PCS 1.1, 3 credit hours - 3 hours lecture, 0 hours lab)
Prerequisites: MATH116, TM-002, TM-001
Part of
- Associate in Engineering Science - ENGR/SCI.AES
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