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(IT 310) Data Analytics and Machine Learning

Helps learners develop skills with services that are critical for machine learning and conducting analysis of big data problems.

Credit Hours 3.0 Lecture
Prerequisites IT 280, CIS 101
Offered Spring
Programs -

Course Learning Outcomes

Upon completing this course, students will be able to:

  • Apply principles of information technology in data analytics and machine learning at a practiced level.
  • Design, implement, and evaluate computing-based solutions to meet a given set of requirements as it pertains to data analytics and machine learning at a practiced level.
  • Communicate effectively in a variety of professional contexts through group project work.
  • Recognize the ethical issues of data analytics and machine learning and implement things responsibly.
  • Use systematic approaches to select, integrate and administer data analytics and machine learning environments at a practiced level.