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Predictive Analytics: Tools & Techniques

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 Analyzing Data for Business Goals

Prerequisite(s): I&C SCI X425.90 Introduction 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 KNIME and Microsoft Excel. Additional information will be provided on the course page once the course begins.

  • Details
  • $820
  • April 29, 2024 to June 23, 2024
  • Delivery Mode: Remote
  • Reg#: 00215
  • ID/Units: I&C SCI X425.92  (2.50)
    ( Section 1 )
  • Quarter: Spring 2024


Ash Pahwa, Ph.D., is an educator, entrepreneur, and technology visionary with over 25 years of industry experience. His expertise includes search engine optimization, web analytics, web programming, digital image processing, database management, digital video and data storage technologies. He developed cellAnalyst image analysis software for the Microsoft Windows/.NET platform. The "cellAnalyst" is also available as a web service. He developed iVision an image database management system for storage and retrieval of biomedical images based on metadata, annotation and content. iVision was developed under a research grant from National Institute of Health. He also taught a Digital Image Processing course at University of California, Irvine in winter of 2007. He earned his Ph.D. in Computer Science from the Illinois Institute of Technology in Chicago. He is listed in "Who's Who in the Frontiers of Science and Technology". His complete bio and CV is at www.ashpahwa.com.

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
START04/29/2024Monday------Online (Access Begins)---
END06/23/2024Sunday------Online (Access Ends)---