HADM 6010

HADM 6010

Course information provided by the Courses of Study 2020-2021. Courses of Study 2021-2022 is scheduled to publish by July 1.

The practice of business is changing. Due to increasing desktop computing power and companies amassing large amounts of data, business decisions are becoming more and more data based. This holds in many sectors such as in internet marketing and online retailing where the only interaction with the customer is in digital form. This course aims at conveying some core principles of data driven decision making. This course is very hands-on and emphasis will be placed on solving real business cases, using real data via advanced spreadsheet enabled models, dashboarding and business intelligence with Power BI and detailed modeling using the statistical programming language R.   The course covers a wide variant of models/topic including traditional descriptive analytics (through PowerBI), predictive analytics and machine learning (through R) and prescriptive analytics including optimization and simulation (in Excel and R).

When Offered Fall, Summer.

Permission Note Enrollment limited to: graduate students.
Prerequisites/Corequisites Prerequisite: HADM 2010, HADM 3010, or instructor permission.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: HADM 4010

  • 3 Credits Opt NoAud

  • 17644HADM 6010  LEC 001

    • MWTo Be Assigned
    • Aug 26 - Dec 7, 2021
    • Anderson, C

  • Instruction Mode: Planned for In Person
    Prerequisite: HADM 2010, HADM 3010, or instructor permission. Elective. Undergraduates must enroll in HADM 4010.