This week, we are celebrating “back-to-school.”
Along with the millions of students returning to campus, summer’s end brings for all of us a time to re-engage, re-focus and reflect on the intertwined paths of our career and learning. The more we learn, the more enhanced our careers, and the more enhanced our careers, the more we learn.
And, in today’s still unsteady economic environment and challenging job market, acquiring the right set of skills can mean a clearer path to a successful and rewarding career. Higher education institutions clearly understand this, and are having to redefine curriculums to align with in-demand degrees and careers in drastic need of qualified professionals.
Today and into the near future, one of the hottest job markets is for individuals well-versed and skilled in employing analytics in diverse ways to solve real world business problems. In fact, according to the U.S. Bureau of Labor, demand for individuals with proven statistical competencies is expected to grow 20 percent through 2018.
This equates to real opportunity and job security. As predictive analytics goes mainstream, organizations have realized that smart and accomplished professionals with these skills are critical to their success. And, it’s only going to increase.
Please take a moment to watch Stephen Gold, business unit executive, global education, at IBM discuss importance of garnering skills in this field:
For more than 40 years, IBM SPSS predictive analytics software
has been used within the classroom to prepare students for success in this field.
Today, through its academic initiatives, IBM continues its heritage of innovation and investment by collaborating with universities around the world to train future leaders and give them hands-on experience in business analytics
technology to solve tomorrow’s problems, such as energy management, public health, fraud or customer churn.
As we welcome everyone back to school, we look forward to sharing some of the recent initiatives underway in furthering academic success with predictive analytics – both inside of the classroom, and in the administrative offices to support recruitment efforts, improve student performance and better predict those students at-risk of failing.
Also, we are interested in hearing from you and learning how you are applying statistics and predictive analytics within your coursework or research, and preparing for your careers beyond the university level. Please post a short blurb and share your story below in the comments section.
Thanks for stopping by. Back to the books.