SAS Forecast Server

Title	Level	Training Formats
Advanced Analytics for the Modern Business Analyst To be effective in a competitive business environment, a business analyst needs to be able to use predictive analytics to translate information into decisions and to convert information about past performance into reliable forecasts. An effective analyst also should be able to identify the analytical tools and data structures to anticipate market trends. In this course, you gain the skills required to succeed in today's highly analytical and data-driven economy. This course introduces the basics of data management, decision trees, logistic regression, segmentation, design of experiments, and forecasting. This course combines scheduled, instructor-led Live Web sessions with independent activities, such as reading assignments and hands-on exercises, for a highly engaging learning experience. The course is delivered over a period of five weeks with an online orientation in week one and two or three Live Web sessions per week thereafter. Students communicate with classmates and the instructor during Live Web sessions and through online forums. To achieve maximum benefit from this course, students should allocate 8 to 12 hours per week to the following: participating in the two or three weekly Live Web sessions with your instructor (3.5 hours each) completing all weekly assignments (these can include reading assignments and hands-on exercises) before the next scheduled Live Web session (1 to 1.5 hours a week). Upon request, this course can also be delivered as a private 5-day on-site class at your location or a SAS training center.	3 Intermediate
Forecasting Using SAS Forecast Server Software This course prepares you to generate large volumes of forecasts automatically using the SAS Forecast Studio interactive interface. This course includes practice data and exercises. This course supports both the desktop and client/server versions. Additional topics for students that license the client/server version of SAS Forecast Studio include producing reports using sample stored processes and a demonstration of SAS Time Series Studio. The self-study e-learning includes: Annotatable course notes in PDF format. Virtual Lab time to practice.	1 Beginner