Applied Data Analytics

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Program Credits

The Applied Data Analytics undergraduate certificate prepares students for careers that rely on an understanding of data analytics and the skills needed to define business problems and manage data architecture. Courses in the certificate emphasize applications of data mining and integration theory and practice.

Upon completion of this certificate, graduates will be able to:

  • Understand how information systems, decision support systems, and data analytics support business decision-making within organizations
  • Utilize decision support and data analytics tools such as data warehouses, OLAP tools, and BPM tools to store and analyze data
  • Recognize and describe existing data mining tools
  • Demonstrate coding using the basic features of the Python programming language, including basic datatypes, classes, lists, and files
  • Perform statistical analyses and analyze data sets using Python and PANDAS
  • Condense large datasets into visual formats for analysis

The 12-credit undergraduate certificate is designed as a standalone stackable credential. Credits can also be applied to the 120-credit B.S. in Data Analytics, or as electives in another B.S. program.

Certificate Requirements and Courses
  • INFS1030 Foundations of Information Systems Management
  • INFS3510 Introduction to Data Analytics
  • INFS3240 Python Programming
  • INFS3242 Analytics with Python
Contact Us

Wu, Peter Y. Dr. Jamie Pinchot

Department Head, Computer and Information Systems
Professor of Computer and Information Systems

Phone: 412-397-6050

Sample Courses:

These are some of the classes for students in this academic program:

Data Integration for Analytics
Data Mining Applications
Analytics with Python