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Advanced Analytics and Big Data (BUSM 410)

Students learn advanced tools and techniques in business analytics. This includes topics in big data technologies, statistics and basic programming. No previous programming experience is required.

Credit Hours 3.0 Lecture
Prerequisite BUSM 361 with a C- or better
Offered Fall
Programs -

Course Outcomes:

By the end of the course, students should be able to provide data-driven solutions to real-world problems and have gained resume-building material:

  • Foundational skills with the R and SQL programming languages for data analysis
  • Ability to use clustering, regression, classification, and association rules for analyzing data
  • Experience with interactive data visualization tools - Tableau and Microsoft Power BI
  • Experience using statistical software (SAS) to explore and analyze data
  • Participation in a Kaggle contest
  • Strong excel skills
  • Understanding of big data technologies and tools