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Training and support /

 

Training and Support

Know your role
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KNOW YOUR ROLE

Business User
Business Users include executives, middle managers and other information consumers, such as sales, marketing and finance professionals. Business Users access information from the web, Microsoft® Office applications and information portals.

Business User

 

Business Analyst
Business Analysts understand not only their organisation’s data, but also the tools they need to use to create reports and analyses. Business Analysts use a range of tools, including Microsoft Office applications, SAS Enterprise Guide 4 and OLAP. They may even write some SAS programs and create stored processes.

Business Analyst

 

IT Administrator
Platform Administrators are responsible for installing and maintaining their organization’s SAS computing infrastructure. Platform Administrators need to understand how to install, configure, and administer the SAS Intelligence Platform.

IT Administrator

 

Data Manager
Data Managers are responsible for the storage and accuracy of their organisation’s databases and warehouses. Data Managers use a range of tools including user interfaces such as SAS Data Integration Studio and SAS Information Map Studio. They write programs in both SAS DATA step and SQL and may also deploy OLAP or use the SAS Data Quality Solution.

Data Manager

 

SAS Programmer
SAS Programmers use our powerful, fourth-generation language to access data from a wide variety of sources. They use SAS code to manage data, perform complex queries, create analyses and reports and then present their results in tables and graphs.

SAS Programmer

 

Statistical Analyst
Statistical Analysts are statisticians and data miners who deploy a wide range of sophisticated techniques to create models, forecasts and analyses. Statistical Analysts use tools including SAS/STAT, SAS/ETS, SAS Enterprise Guide 4 and SAS Enterprise Miner. Many of our courses are suitable for both SAS 8 and SAS®9 users.

Statistical Analyst

Advanced and Specialty Courses:

  • Data Mining Techniques: Theory and Practice
  • Multivariate Statistical Methods: Practical Research Applications
  • JMP Software: Analysis of Attribute Data

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