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MAT 388E - Data Analysis in Fund.Sciences

Course Objectives

To teach undergraduate mathematics majors how to use fundamental machine learning and statistical models in prediction problems based on data, interpreting the results of the machine learning and statistical models they are going to develop, writing analytical reports helping decision making processes.

Course Description

Best practices in data analysis. Basic R. Basic python. Basic statistics. Univariate and multivariate data problems. Boolean decision problems. Discrete Decision problems. Unsupervised clustering models. Neural network models.

Course Coordinator
Atabey Kaygun
Atabey Kaygun
Course Language
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