DSC 100: Advanced Data Science

Units: 4

Explores key data science areas including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision making. Through an emphasis on data-centric computing, quantitative critical thinking, and exploratory analysis this class covers principles and techniques of data science, including languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; measurement error and prediction; and techniques for scalable data processing.

Course Details
Repeats Allowed for Credit: 0

Laboratory included
Normal Letter Grade with Pass/No Pass option

GE Requirements

Intellectual Experience: Scientific Method

Requisites and Restrictions
Prerequisite Courses: DSC 008 and DSC 011
Instructor Permission Required: No

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University of California, Merced

DSC 100: Advanced Data Science