MILI3963: Health Market Analytics

3 Credits

This course prepares students to analyze large health care databases with a focus on advanced applications with health insurance claims data. The course is designed to be a STEM offering with the use of statistical programming languages including R, Tableau, and SAS. This course is designed to appeal to students with an interest in developing data science as core skill and already have knowledge of some programming tools, and experience with data manipulation in Excel, SQL, or Access. Prerequisite: We recommended that students have a background in statistics. Consider MKTG 3005 - or STAT 3011 or BA 2551 or equivalent course. We also recommend a previously taken class with Excel, R, SAS, SQL, or Access.

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All Instructors

B+ Average (3.281)Most Common: A (34%)

This total also includes data from semesters with unknown instructors.

59 students
SWFDCBA
  • 2.64

    /5

    Recommend
  • 2.80

    /5

    Effort
  • 3.52

    /5

    Understanding
  • 2.96

    /5

    Interesting
  • 3.56

    /5

    Activities


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