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Data Analytics Project

An elective course in the Data Analytics for Business Certificate Program. An elective course in the Data Analytics for Business Certificate Program.

Course Description

Put descriptive, predictive, and prescriptive analytics into action in this capstone project course. This course covers a framework that enables students to apply analytics to business needs by working on a data analytics project. Students will work through setting project goals, learn how to frame questions based on these goals, and ways to evaluate the data needed for successful project completion. In addition, real-world case studies and examples will be reviewed to compare and contrast project techniques and frameworks.

Prerequisite(s): I&C SCI X425.91 Descriptive Analytics: Visualization & Storytelling w/ Data, I&C SCI X425.92 Predictive Analytics: Tools & Techniques, I&C SCI X425.93 Prescriptive Analytics: Digital Decisioning.

NOTE: This course may have live sessions via Zoom. A device with audio and visual will be needed to participate. The following student guide provides additional resources/information on how to use and access your courses Zoom sessions.

NOTE: This course requires Microsoft Excel, KNIME and Tableau. Additional information will be provided on the course page once the course begins. Prerequisite(s): I&C SCI X425.91 Descriptive Analytics: Visualization & Storytelling w/ Data, I&C SCI X425.92 Predictive Analytics: Tools & Techniques, I&C SCI X425.93 Prescriptive Analytics: Digital Decisioning.

NOTE: This course may have live sessions via Zoom. A device with audio and visual will be needed to participate. The following student guide provides additional resources/information on how to use and access your courses Zoom sessions.

NOTE: This course requires Microsoft Excel, KNIME and Tableau. Additional information will be provided on the course page once the course begins.

  • Be notified when this class becomes available!

  • Details
  • $795
  • Reg#: 00368
  • ID/Units: I&C SCI X425.98  (2.50)
    ( Section 1 )
  • Quarter: SUMMER 2022