Real-world, practical application of statistical modeling; keeping theory at bay and business needs in the forefront.
Thanks Bernard and Iza. It was a very good course and I appreciate your work.
Shelly Kunkle - Michelin, North America
This course has been created for analysts, forecasters wanting to introduce or improve forecasting which can be related to sale forecasting, economic forecasting, technology forecasting, supply chain management and demand or supply forecasting.
This course guides delegates through series of methodologies, frameworks and algorithms which are useful when choosing how to predict the future based on historical data.
It uses standard tools like Microsoft Excel or some Open Source programs (notably R project).
The principles covered in this course can be implemented by any software (e.g. SAS, SPSS, Statistica, MINITAB ...)
The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.
|Number of Delegates||Public Classroom||Private Remote|
|Location||Date||Course Price [Remote/Classroom]|
|Course||Venue||Course Date||Course Price [Remote / Classroom]|
|Web Application Performance Testing with JMeter||Remote Course||Thu, Dec 15 2016, 9:30 am||$1822 / N/A|
|WebServices with SOAP and WSDL Basics||Remote Course||Tue, Dec 20 2016, 9:30 am||$3406 / N/A|
|Selenium for Victims of Manual Testing||ON, Ottawa - Fairmont Chateau Laurier||Tue, Jan 17 2017, 9:30 am||$3158 / $5858|