The Institute for Health & Business Insight at Central Michigan University Data Scientist
Recruiting and hiring an analytics professional can be difficult process. Scan through job postings for a “Data Scientist” position and you’ll see extensive lists of requirements and qualifications. As technology and advanced analytics methods evolve, organizations are looking for employees with both a wide set of technical skills and an understanding of the variety of work it takes to be successful in data analytics. Colleges and universities, meanwhile, can teach students a set technical skills before graduation, but struggle to expose the students to real application knowledge. Students need to gain real experience during their time in school to help them be bettered prepared and more qualified to enter a professional setting. But how can students develop experience in the industry before applying for their first job in analytics?
This talk focuses on the need for collaboration and communication between students, educational institutions, and business. When organizations work directly with colleges and universities, they are able to start building up the skills and experience needed in their potential hires. Students and educational institutions benefit from gaining real-world applications of data analytics and a better understanding of what it takes to train and become a data scientist.