|CEU's or PDH's||1.3 CEU's|
Today’s leading businesses, governments, and other organizations collect large amounts of data about their operations and their customers. Classic examples are Amazon, Twitter, or any company that has a call center or provides customer service. All that information is collected and then analyzed in order to predict customers’ future needs, to make sensible purchase suggestions to them, or to market products and services. Google data is another example that can be used for many purposes such as predicting outbreaks of infectious diseases based on sudden spikes in the frequency of certain words being googled.
Building models is an integral part of Predictive Analytics, which is also associated with large amounts of unstructured data and a very broad range of practical applications. Companies are moving from traditional forms of reporting to Predictive Analytics so that they can better react to rapid changes in their business environments. Companies much prefer to be proactive rather than reactive.
In this 2-day workshop you will learn basic skills associated with Predictive Analytics. You will harness the hidden power of Excel and then use more sophisticated tools such as MINITAB® and R.
Who Should Attend
Managers, analysts, and other professionals who want to understand and use Predictive Analytics to gain insights into their data. No prior experience with Minitab® or R is required, but basic familiarity with Excel or other spreadsheet software is expected.
Individual Registration: $695
Discounts (only one discount per person):
Group Registration (no other discounts apply) *
Price includes: continental breakfast, lunch, and afternoon break; all course materials.
Accommodations: Rooms may be reserved at the Radisson Hotel adjacent to the RIT campus. Information on how to make a reservation will be emailed to you.
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 email@example.com with any questions.
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