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Introduction to Predictive Analytics

Today’s leading businesses, governments, and other organizations collect large amounts of data about their operations and their customers. Classic examples are data about Amazon customers, call center data, or Twitter data. All that information is collected and then analyzed in order to predict future needs of individual customers, make sensible purchase suggestions to them, or try to market products and services directly to those customers. Another example is analysis of Google data that can be used for many purposes, for instance, to predict outbreaks of infectious diseases based on sudden spikes in the frequency of certain words being googled.

Building such predictive models is part of Predictive Analytics, which is also associated with large amounts of unstructured data and a very broad range of practical applications. Companies move from traditional forms of reporting to Predictive Analytics, so that they can better react to changing environment. The companies want to be proactive rather than reactive.
In this two-day seminar you will learn basic skills in Predictive Analytics. You are going to harness the hidden power of Excel, and then use more sophisticated tools such as MINITAB® and R. Basic familiarity with Excel or other spreadsheet software is expected. 1.4 CEUs.

Topics include:

  • How to follow the process of Predictive Analytics in order to take advantage of available data
  • How to evaluate effectiveness of various marketing strategies
  • How to use Excel to retrieve data from Web on a predetermined schedule
  • How to make business decisions based on data
  • How to analyze customer survey data for the best improvement opportunities

You will benefit by:

  • Collecting your own data from Websites 
  • Learning about software tools for Predictive Analytics.
  • Learning about your customer base 
  • Using Predictive Analytics as an improvement on traditional reporting 

Who should attend:

Managers, analysts, supervisors, and other professionals who want to understanding and use Predictive Analytics. No prior experience with Minitab® or R is required. Basic familiarity with Excel or other spreadsheet software is expected.

Schedule

Please contact Margi Ochs, Marketing, 585-475-6113 or mmobbu@rit.edu for upcoming dates.

Pricing

$600.00 per person
Cost includes continental breakfast and lunch each day

Discounts (for individual registrations)

Only one discount per person.

  • MedTech Association Members: 10%
  • GRQC Members: 10%
  • RIT Alumni: 20%
  • RIT Employees: 20%
  • Full-Time College Students (all institutions): 20%   
    College students contact Susan Chapman at sjcpph@rit.edu or 585-475-6990 for a coupon code.

Cancellation Policy
Refunds will be issued for cancellations received and confirmed at least 10 business days prior to the program date. No refunds will be issued for cancellations received after that date. Please email cqas@rit.edu with any questions.

Registration

Please contact Margi Ochs, Marketing, 585-475-6113 or mmobbu@rit.edu for upcoming dates.

Contact: 
Margi Ochs
Margi Ochs
Senior Program Manager, Instructor
585-475-6113
HLC/2554