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Data Science and Machine Learning

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Course Information

Subject code

DSCI

Subject Code Description

Data Science

Course Number

6200

Course Title

Data Science and Machine Learning

Catalog Subject and Course Number

DSCI 6200

Catalog Title

Data Science and Machine Learning

Course Description (Combined)

Prerequisite: DSCI 6000

Course Restriction: Restricted to Graduate Students

This course provides an overview of modern data science and machine learning (DSML) techniques, contrasting them with a traditional statistical approach. Students will learn how analysts can transition from classical statistics to more advanced predictive modeling and algorithmic data analysis. The course will cover both the theoretical and applied aspects of powerful DSML tools, such as neural networks, support vector machines, decision trees, random forest, gradient boosting, XGBoosting, model selection, model averaging, cluster analysis, and text mining. Upon completing this course, students will leverage modern modeling techniques to extract insights, predict outcomes, and optimize decisions.

Credit: 3