LabsIOT is a full-time, 22-week and part-time, 44-week online Data Science program. LabsIOT sees a unique opportunity to prepare job applicants for the paradigm shift in the way modern applications are being written and how data is used to provide business feedback. LabsIOT focuses on applications of Data Science in a real-world context, providing skills and experiences students can use when working in an industry setting. This program looks for students that have a basic familiarity with Microsoft Office, Mac or Linux Operating System and prefers students to have at least one year experience in a business or technical role. The experiential curriculum allows for meeting times with mentors that are set for group or one-on-one meetings, as needed, but at least once a week. The mentor is available to answer individual questions and provide feedback by using collaborative technologies like Google+ Hangouts and join.me.
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Students will learn technical skills in data science with the following courses: Understanding Customers, Predicting Profitability and Customer Preferences, Big Data Web Mining, and Deep Analytics and Visualization. Students will collaborate with each other on the conceptual and design aspects of each project but then do the hands-on implementation individually. Students will utilize: The Weka open source machine learning package, R and R Studio, Amazon Web Services, Elastic Map Reduce, Hadoop, Python, advanced R packages for statistics, data visualization, time series analysis and machine learning.
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