Organizations today are dealing with diverse issues, a wider range of regulations and heightened global competition. Insights gleaned from data about customers, suppliers, operations and performance will provide companies an edge in solving complex business problems. The market demand for professionals with data management, analytical and problem solving skills is high. Are your students prepared?
If you are teaching, or planning to teach Business Analytics or Data Mining, these workshops are a great way to prepare for your course. Each workshop provides coverage of the core concepts and includes plenty of hands-on exercises. The workshops also provide attendees an opportunity to network with other colleagues who are teaching these courses or are in the process of preparing for their first offering. Attendees receive all teaching materials and data sets which can be incorporated into their courses.
The workshops are free of charge to university professors. In addition to the training, breakfast and lunches are also provided. Attendees are responsible for their travel and lodging during the workshop. Registration is now open for these offerings.
If you are a professor and are interested in these workshops, SAS would like to invite you to attend one or both of our weeklong summer workshops for educators. Both workshops will be held at SAS headquarters in Cary, NC.
- Advanced Business Analytics (PDF)
July 9-13, 2012
In its third year, the Advanced Business Analytics workshop introduces professors to a semester long academic course which focuses on manyanalytic topics introduced via case studies. The course was designed with graduate business students in mind. It is expected that professors will teach using complimentary access to our SAS OnDemand software to support the hands-on portion of the course.
- Data Mining for Educators (PDF)
July 23-26, 2012
In its 10th year, the Data Mining for Educators workshop gives university-level professors the unique opportunity to learn more about incorporating SAS Enterprise Miner into their curriculum. The event also provides attendees an opportunity to network with a number of colleagues who are currently teaching data mining using SAS Enterprise Miner software and to take advantage of the latest analytical training from SAS.
Should you decide to attend, you must register. Space is limited so register as soon as possible, but no later than May 28, 2012. You can register by calling 1-800-333-7660 and ask to speak to Ramona Boone or Mandi Chada. If you would prefer to register via e-mail, please contact firstname.lastname@example.org. Please include your name, university, mailing address, phone number, track preference, optional session attendance and e-mail address.
If you have any questions, please contact email@example.com. We look forward to seeing you this summer.