BUS381 Advanced Business Analytics

Presents a scientific and systematic approach to business data analytics. Topics include dimension reduction, K-nearest neighbor algorithms, neural networks, Logistic regression model building, association rules, and advanced model evaluation and cost-benefit analyses. Results are interpreted with clients in mind.

Credits

  • 3

Restrictions

  • Must be enrolled in the following level: Undergraduate
  • Must be enrolled in one of the following field(s) of study (major, minor or concentration): Accounting (542), Finance (543), General Business (547), General Business - ITU (547U), General Business - Izmir (547I), International Business (546), Management (544), Marketing (545), Pre-MBA (0MBA), Undeclared:Business (000B), Undeclared:Pre-Accounting (00AC), Undeclared:Pre-Finance (00FI), Undeclared:Pre-Gen Business (00GB), Undeclared:Pre-Interntnl Bus (00IB), Undeclared:Pre-Management (00MG), Undeclared:Pre-Marketing (00MK)
  • May not be enrolled in the following class: Freshman

Prerequisites

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