Data Analysis Minor (DTA)
Data Analysis is an activity at the intersection of statistics, computing, and a particular domain of application. The emphasis in the Data Analysis program is on the statistical methods that support data analysis. It may be of particular interest to students of business, finance, economics, and any of the natural or social sciences.
Program Contact: Professor William Harris
Students majoring in Mathematics may not minor in Data Analysis.
| Core Courses | 15 hours |
| Elective Courses | 3 hours |
| Total | 18 |
Core Courses
A continuation of the study of the integral and a study of infinite series. Topics include techniques of integration, applications of the definite integral, introduction to differential equations, tests for convergence of series, and power series.
A study of chance phenomena and probability distributions, with selected applications. Topics include probability laws and elementary combinatorics, random variables, discrete and continuous probability distributions, joint distributions, conditional probability, and Central Limit Theorem.
This course focuses on data analysis in settings where the data is so large, dispersed or messy that machine-processing is required to gather, clean and transform it into forms suitable for analysis. We also study computer-based techniques for the analysis of such data, including machine data visualization and modeling with data. Principles of reproducible research are studied and put into practice throughout the course.
Elective Courses
Select one course from the following:
A course on modeling in statistics, with a focus on applications. Topics include: basic model designs, geometric understanding of models and random vectors, interpretation of models and inference from them (confidence intervals and hypothesis testing), investigating causation, experiments.
Modern applications often rely on databases and, by extension, need software systems to manage those databases. One such system is PostgreSQL, which is notable for including many features that help facilitate application development and protect data. By the end of this course, you will be able to use PostgreSQL to manage databases and support application development and integration.