DATA200S

Download as PDF

DATA 200S - Principles and Techniques of Data Science

Data Science Undergraduate Studies Graduate CLS - College of Letters and Science

Subject

DATA

Course Number

200S

Department

Data Science Undergraduate Studies

Course Level

Graduate

Course Title

Principles and Techniques of Data Science

Course Description

Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.