Skip Navigation

Predictive Analytics: Tools & Techniques

A required course in the Data Analytics for Business Certificate Program. A required course in the Data Analytics for Business Certificate Program.

Course Description

This hands-on course provides critical skills needed to drive business decisions using predictions made from using historical data. Students will be introduced to key tools used in predictive analytics and how to evaluate the right tool in order to translate business problems into predictive analytics problems; select, explore, and integrate data; uncover new relationships among the data; and deploy the model on new data. At the end of the course, students will be able to use these predictive analytics tools and models to make reliable business relevant predictions to drive business decisions. Prerequisite(s): I&C SCI X425.90 Introduction to Analzying Data for Business Goals

Prerequisites(s): I&C SCI X425.90 Introducation to Analyzing Data for Business Goals.

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. Additional information will be provided on the course page once the course begins. Prerequisites(s): I&C SCI X425.90 Introducation to Analyzing Data for Business Goals.

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. Additional information will be provided on the course page once the course begins.

  • Details
  • $795
  • June 28, 2021 to August 22, 2021
  • Delivery Mode: Online
  • Reg#: 00142
  • ID/Units: I&C SCI X425.92  (2.50)
    ( Section 1 )
  • Quarter: SUMMER 2021

Instructor


Keith McCormick, B.S, is a career long practitioner of predictive analytics and data science. He has a particular expertise in helping organizations perform their first predictive analytics project or build their first predictive analytics practice, and has done so in a variety of industries including healthcare, banking, telecommunications, pharmaceuticals, and retail. Keith is also an established author with four books in print or under contract. Keith is especially well known in the IBM SPSS Statistics and IBM SPSS Modeler communities.

Textbook Information

Textbooks for your course may be purchased from any vendor or bookseller of your choice.

No textbooks are required for this course.

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START06/28/2021Monday------Online (Access Begins)---
OL-LEC07/13/2021Tuesday5:00 PM6:30 PMZoom---
OL-LEC08/03/2021Tuesday5:00 PM5:30 PMZoom---
OL-LEC08/10/2021Tuesday5:00 PM6:30 PMZoom---
END08/22/2021Sunday------Online (Access Ends)---