Session

Hands On: Learning Data Analytics through the use of SAS University Edition

Organizations have the need for data analyzers under a variety of job titles (Data Scientist, Data Analyst, Quantative Modeler, etc.). But finding those with the technical skills to perform those tasks with large volumes of data can be difficult. There is plenty of talent who have the necessary understanding to perform that analysis but may not have experience with the tools your organization is using (like SAS). When the schools fail in this area, one alternative is for the organization to assist individuals learn those skills and grow within the organization.
Where it may not be acceptable to spend the learning time while at work using work resources, the use of SAS University Edition provides that opportunity. This version is available free of charge for non-commercial use (learning is certainly non-commercial).
While oriented for the employer, the approaches can work for students who want to prepare for a job in this area as well as the educational institutions who will be training them.
The session will cover:
• Acquiring/installing SAS University Edition
• Approaches for instructing/learning including "Brown Bag Lunches" and more formal training
• Combining the informal training with formal courses for a more "Just in Time" result (and retaining the learning)
• Motivating and rewarding employees for the learning activities
• Advantages, disadvantages, tips and tricks
• Quick First Program
• Getting Data
• Saving Data
• Sorting
• Control Breaks and Selection
• Expressions
• Important Options
• Important and Interesting PROCs
• Other Sources of Information

David Horvath, CCP

IT Weanie

Philadelphia, Pennsylvania, United States

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top