Data Analytics Certificate (DTAN-CC)

A discontinuation of this program has been proposed and is pending approval of the Board of Regents. If approved, new students will not be admitted and current students will work with advisors to complete their studies.

The goal of the program curriculum is to provide students with an introduction to the industry programming standards of Python and R and knowledge of important fundamentals in Statistics and the Data Science Life Cycle. The certificate is designed as a four 4-credit course program that enables eager and interested students to obtain skills useful for the analysis of data in the workplace. Students take 2 courses in the fall semester and 2 courses in the spring semester to complete the certificate in one year.

Learning Outcomes:

Upon successful completion of the program, graduates will be able to:

• Extract data and solve data related problems using programming language.
• Produce and interpret data visualizations, numerical summaries, and confidence intervals to describe and explore data.
• Formulate and test statistical claims using relevant techniques and technologies.
• Recognize and investigate problems using data and apply the appropriate methods for resolution.
• Demonstrate the ability to prepare data for analysis.
• Describe ethical issues related to data privacy and sensitivity.
• Evaluate the consistency and completeness of data.