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Classes

BUSIT 115 Data Mining I • 5 Cr.

Description:

Introduces the computer-assisted process of evaluating enormous sets of data to find previously undiscovered patterns, draw conclusions and then make decisions based on these patterns. Concepts are introduced and hands-on exercises used to apply the concepts using current software tools. Prerequisite: BUSIT 105 with a C- or better.

Outcomes:

After completing this class, students should be able to:

  • Describe the role of Data Mining in an organization
  • Describe the differences between Data Mining and Data Query
  • Describe the nature of both supervised and unsupervised learning
  • Use Data Mining software to develop and apply data mining models
  • Create, evaluate and apply Decision Tree models
  • Describe scenarios in which use of a decision tree would be appropriate
  • Create, evaluate and apply Unsupervised Clustering models
  • Describe scenarios in which use of unsupervised clustering would be appropriate
  • Create, evaluate and apply Market Basket models
  • Describe scenarios in which use of market basket analysis would be appropriate
  • Create, evaluate and apply basic time series models
  • Describe scenarios in which use of time series models would be appropriate
  • Describe ethical issues surrounding the use of data mining

Offered:

v3.4.0.0

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Contact info

Bellevue College
3000 Landerholm Circle SE Bellevue, WA 98007-6484 U.S.A.
Work: (425) 564-1000