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Data Science, Graduate Certificate Courses

The following are courses in the Data Science Graduate Certificate program.

Required Courses

DS 701: Introduction to Data Science

3 Credits
The increasing abundance of data in all areas of society has led to a major need for professionals trained in the proper collection, management, and analysis of data. In this course, students will be introduced to the basic principles of data science, with a focus on the application of these principles to answer questions in a wide variety of fields. Specific attention will be given to the definition of data, finding appropriate data sources, methods for collecting data, and how data is processed after it has been collected (cleaning, coding, and manipulation). Students will also be introduced to basic data analysis and data presentation. At the conclusion of the course, students will be prepared to begin exploring data on their own and to take more advanced data science courses.

DS 702: Data Collection and Management, and Coding

3 Credits
This course will introduce students to the practical aspects of working with data. Students will explore different methods for data collection, data management, and data documentation. Throughout the course, students will get firsthand experience in these different areas by working with real and simulated data. At the end of the course, students will be prepared to begin collecting, managing, and coding data on their own.

DS 703: Biostatistical Analysis

3 Credits
Understanding biostatistics makes it possible to perform analyses to understand the relationships among data. In this course, students will review foundational areas in statistics including probability, measures of central tendency, p-values, type I and type II errors, confidence intervals, and different types of distributions. The course will also enable students to perform biostatistical analyses including chi-square, t-tests, correlation, linear regression, logistic regression, and analysis of variance (ANOVA). Confounding and effect modification will also be covered. Students will also learn how to present data visually in tables and graphs. The course will prepare students for developing an understanding of more advanced biostatistical analyses, reading and interpreting the biostatistical literature, and performing their own studies.

DS 704: Introduction to Statistical Programming

3 Credits
Programming is a central component of managing and analyzing data. In this course, students will be introduced to programming using the SAS statistical software program. Students will learn how to perform data management tasks to import and export data, recode variables, and reformat data. Students will also be introduced to basic statistical procedures including calculating descriptive statistics, correlation, and regression. After taking the course, students will be prepared to complete tasks and to learn more advanced procedures in SAS.