Data Analytics Certificate (DTAN-CC)

This 2024-25 Curriculum Guide is intended as a reference for Fall 2024 registration. The complete 2024-25 Academic Catalog will be finalized on July 1, 2024.

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.