Subject	Catalog Number	Title	Credits
Computer,Info and Data Science	215	Data Science for Everyone	3.00
Details: This course focuses on the basic principles of data science, its context and applications, and the essential components of the data science life cycle: data generation, collection, curation, storage, management, and analysis. Students will gain skills in data preparation and in conducting exploratory data analysis using real-world datasets that could generate insights and hypotheses. Students will be introduced to data science and analytics tools such as Excel, R/Python, Tableau/Microsoft Power BI, Alteryx, and RapidMiner. This course provides a foundation to advanced courses in data science and data analysis. Prior knowledge of programming or statistics is not required. Prerequisites: none. (F, Sp)
Section	01	Class Number	1575
Term	Fall 2025-2026	Status	Active
Dates	09/02/2025 - 12/12/2025	Topic	None
Time	12:30 PM - 01:45 PM Tu Th	Instructor	Jani,Arpankumar Y
Enrolled	31 of 40	Room	Davee Library 164
Section	01	Class Number	1803
Term	Spring 2025-2026	Status	Active
Dates	01/26/2026 - 05/08/2026	Topic	None
Time	08:00 AM - 09:15 AM Tu Th	Instructor	Jani,Arpankumar Y
Enrolled	8 of 25	Room	Davee Library 164
Section	02	Class Number	2302
Term	Spring 2025-2026	Status	Active
Dates	01/26/2026 - 05/08/2026	Topic	None
Time	02:00 PM - 03:15 PM Tu Th	Instructor	Jani,Arpankumar Y
Enrolled	5 of 25	Room	Davee Library 164