Data Mining for Business Intelligence

Course Search > Computer Related > MIST.4060

Course No: MIST.4060-061; SIS Class Nbr: 1935; SIS Term: 2840
Course Status: Registration Closed

Course Description

This course introduces the concepts and techniques of data mining and analytics for transforming raw data into business intelligence and insight. It is intended to provide the students with the working knowledge for using and developing data mining technologies. The course studies how data-oriented business intelligence techniques can be used by organizations to gain competitive advantages. Topics include data integration, data transformation, Big Data Analytics, classification, prediction, clustering, association analysis, and text mining. Data-mining related ethical issues will also be discussed.

Prerequisites, Notes & Instructor

  • Prerequisites:
  • Special Notes:
  • Section Notes:
  • Credits: 3; Contact Hours: 3
  • Instructor: Amit Deokar
  • Textbook Information

When Offered & Tuition

  • Online Course
  • Summer 2019: May 20 to Jul 28
  • Chat Hours: Thu 8-9pm*
  • Course Level: Undergraduate
  • Tuition: $1155
  • Note: There is a $30 per semester, nonrefundable registration fee for credit courses.

*Chat Hours provide an opportunity for the instructor and students to communicate in "real time". It is an informative and interactive session where course related questions, answers, and discussions take place. While student attendance during chat hours is not required, it is highly recommended. Weekly chat sessions are archived for students who are not able to participate in the live chat sessions at the scheduled times.

Every effort has been made to ensure the accuracy of the information presented in this catalog. However, the Division of Graduate, Online & Professional Studies reserves the right to implement new rules and regulations and to make changes of any nature to its program, calendar, procedures, standards, degree requirements, academic schedules (including, without limitations, changes in course content and class schedules), locations, tuition and fees. Whenever possible, appropriate notice of such changes will be given before they become effective.

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