DSC 101: Introduction to Data Science

Foundational topics in data science. Students will learn a broad range of data science skills applicable across different domains, including social sciences, finance, crime and justice, social networks, and engineering. Students will develop statistical and computational thinking skills, and they will apply these skills to real-world datasets. Specific topics include applied data problems, statistical software, data frames, descriptive statistics, natural language processing, data storage, data merging, linear regression, and data mining. The core skills developed in this course lay a foundation for more advanced coursework in data management, visualization, exploratory data analysis, and machine learning. No prior knowledge of programming or statistics is required.

2021 Fall
Class#SctTypeSeatsUnits
11467 01 Lecture 32 3.00
DaysStartEndLocation
MON TUE WED THU FRI SAT 2:00 PM EST 3:15 PM EST
Instructor: Donghui Yan Class status:
Enrollment Section
Class instruction mode: In Person

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