Data Science Course Listings

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234. Intro to Data Science.

An introduction to fundamental data science concepts using modern statistical programming languages and software. The course assumes no prior knowledge of programming but a familiarity with basic statistics is required. The course focuses on building essential data science skills such as data manipulation and visualization, basics of programming, string manipulation, and modern data sources (such as web and databases). Emphasis will be placed on building skills applicable to large scale projects. Students may receive credit for only one of DATA 234, STAT 234, STAT 3007, or  STAT 201. This course fulfills the Computing Requirement of the Statistics Major. Prerequisite: STAT-113 or ECON-200

345. Database Systems.

An introduction to fundamental data science concepts using modern statistical programming languages and software. The course assumes no prior knowledge of programming but a familiarity with basic statistics is required. The course focuses on building essential data science skills such as data manipulation and visualization, basics of programming, string manipulation, and modern data sources (such as web and databases). Emphasis will be placed on building skills applicable to large scale projects. This course fulfills the Computing Requirement of the Statistics Major. Prerequisite: STAT 113 or ECON 200

352. Statistical & Machine Learning

Introduces techniques for developing advanced models from datasets, for the purposes of better understanding the data and making predictions about future data. Techniques include linear and regularized regression, nearest neighbor classification, support vector machines, decision tree ensembles, and neural networks. Examines real-world applications, both successes and failures, the latter of which often involve data with embedded biases. Students will develop both technical and ethical competence in using some of the most powerful computational tools in data science Prerequisites: STAT 213,  CS 219, and  MATH 217

289, 389. Independent Study.

Permission required.

450. SYE Seminar

Permission required.

489. Independent SYE

Permission required.

498. Honors SYE Permission required.