There have been several blogs recently discussing the importance of analytical skills for students. Students these days need to be savvy about the courses they select. Taking courses that broaden knowledge and give practical experience with the questions and tools used in industry to find solutions, will give you an advantage when it comes to gaining employment. Of course, being able to take these types of courses depends upon these courses being offered at your university.
There are several new programs being developed that focus specifically on analytics. One key aspect of these course offerings is that they depend upon the professors who teach them. Several faculty members have been spending this semester learning some of the newest analytics material available from SAS and integrating these materials into their college courses.
Tom Bohannon, a member of the Global Academic Program team, recently spent a week with faculty members from several universities in Singapore. The week focused on the new Advanced Business Analytics course at SAS. Faculty spent the week learning data mining, data manipulation, variable transformations, design of experiments, and time series using SAS Forecast Server. Thirty faculty members from the following institutions in Singapore attended this week long training session:
- National University of Singapore
- Singapore Management University
- Nanyang Polytechnic
- Republic Polytechnic
- Singapore Polytechnic
- Temasek Polytechnic
Several of these faculty members will be incorporating these topics and the use of SAS into their courses next semester. This was a highly successful week. The faculty were energetic and have already requested additional SAS workshops in Singapore.
Kennesaw State University faculty, post-docs, and a few graduate students, also spent a week recently doing a deep dive into clustering techniques using SAS programming. Many of the faculty were already familiar with clustering, but had either never used SAS to do it, or had used SAS Enterprise Miner to do clustering and wanted to get more details about the clustering techniques and the programming behind it. Incorporating these clustering techniques into their courses will expose their students to techniques commonly used in some of the epidemiology, marketing, and pharmaceutical research projects at Kennesaw State University.
Louisiana State University (LSU) faculty also recently spent time exploring the techniques and practices in text mining. Tom Bohannon and Jerry Oglesby, from the SAS Global Academic Program team, spent time with faculty at LSU going through the SAS Text Miner course. The course covers the various techniques and theory behind working with unstructured data and also provides hands-on exercises using SAS Text Miner to solve problems related to the course.
These are just a few of the colleges and universities who have spent part of the spring semester integrating more analytics into their programs. If you are looking for ways to expand your knowledge and use of analytics as it relates to the courses you teach, contact the SAS Global Academic Program.