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The length of the seminar/workshop can be adjusted based on the needs and wants of the client. All seminars include the first four modules, while extended seminars include modules five and six. I. A clear overview of business analytics, data science, AI, and machine learning A. What they are and how they relate to each other. B. What they can do for business. C. Why are they so popular. II. Standard methodologies (step-by-step roadmaps/precipices) for conducting business analytics and data science projects. A. Best practices from the real-world application cases III. Popular tools and platforms used for business analytics. A. Commercial versus free/open source B. Critical comparison for smarter and client-need-specific adoptions IV. Demonstrations and hands-on experiences with popular software tools A. Free, and open-source visual tools like KNIME and Python V. Company/client specific project initiatives (instructor-led, student/participant-executed projects)
The Center for the Future of Work in the OSU Spears School of Business offers various certificate programs and customized professional development.
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