Business Analytics/Project Management/Information Security |
Data Science and Machine Learning Made Easy: Turning Business Managers into Citizen Data Scientists Dr. Dursun Delen — William S. Spears Chair in Business Administration, Patterson Family Endowed Chair in Business Analytics, Director of Research for the Center for Health Systems Innovation, and Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University Data science, AI, and machine learning are transforming the way businesses make decisions — enabling smarter, faster, and more informed strategies. This hands-on workshop introduces managers to the power of intuitive, visual, and open- source data science tools. Participants will gain practical skills in building and testing machine learning models, empowering them to become “citizen data scientists” who can confidently apply AI in real-world business contexts.
At the end of this seminar, participants will:
Have a clear understanding and appreciation of the capabilities and limitations of business analytics and data science Know the relationships between business analytics/data science concepts and AI/Machine learning tools and techniques. Learn and appreciate the capabilities and ease of use of free, open-source analytics platforms like KNIME and Python. Know how to easily and rapidly access data and develop predictive models using these visual analytics tools and platforms. Become a smarter consumer of business analytics and data science tools and techniques
SEMINAR OUTLINE
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)
» KORN FERRY COMPETENCIES
Manages complexity | Cultivates innovation | Decision quality | Strategic mindset | Drives vision and purpose
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