DSCI 125 – Introduction to Data Science

Data is the fuel of the modern economy! An organization’s ability to manage data and generate insights enables better decision-making. In this course, we introduce a number of concepts, methods, and tools purposed with extracting information from data as we go through key issues in Data Science. We cover data representations in Python, visualizing data, statistics and probability, data gathering and processing, intro to machine learning, natural language processing, retrieval, and data ethics. Students will gain hands-on experience in the data science process: posing questions, gathering data, developing analyses, articulating and presenting data-informed decisions.

Prerequisites: CSCI 120 or CSCI 124 and

MATH 120  or MATH 124 or GEOG 110 or ECON 160 or SOC 202  or PSYC 105  or PSCI 107  or QBUS 110 

(Minimum grade of C- required for pre-reqs)

Course Designation/Attribute: POP

Anticipated Terms Offered: Spring 2025