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Dec 06, 2025
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ECON 57600 - Statistical & Machine Learning
Credit Hours: 2.00 or 3.00. This is an introductory course in statistical and machine learning. It will cover fundamental concepts and essential tools that are critical in understanding
cutting-edge machine learning techniques. Students will develop skills in applying a wide
variety of modeling and prediction methods. Topics include linear regression, classification, regularization and shrinkage methods, tree-based methods, and support vector machines. An integral part of this course is the extensive use of the open source statistical software R. Students will gain hands-on experience in analyzing datasets commonly used in business and economics.
Learning Outcomes
1. Develop skills in applying a wide variety of modeling and prediction methods. Topics include linear regression, classification, regularization and shrinkage methods, tree-based methods, and support vector machines. An integral part of this course is the extensive use of the open source statistical software R.
2. Gain hands-on experience in analyzing datasets commonly used in business and economics.
Credits: 2.00 or 3.00
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