Data Analytics

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Program Credits

The 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:

  • Apply techniques for evaluating and framing a business problem and formulating a data analytics solution to the problem.
  • Conduct, interpret and properly document the results of the analysis using the appropriate tools, including R, Python, and others.
  • Describe and apply the common techniques used in data analytics and choose an appropriate technique to model and make predictions on a dataset.

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.

Course Plan
  • INFS4260 Data Integration for Analytics
  • NFS4220 Data Mining Applications
  • INFS3710 Knowledge Management or INFS3510 Introduction to Data Analytics
  • INFS3242 Analytics with Python

Sample Courses:

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

Data Integration for Analytics
Data Mining Applications
Analytics with Python