The Online Winter School on Data Science & AI for Business is a 7-day global program designed for professionals, students, and entrepreneurs eager to turn data into strategic insight. Through live interactive sessions, hands-on projects, and mentorship from international professors, you’ll master the tools that power modern business, from Python and KNIME to AI-driven analytics. Accessible from anywhere, this program makes world-class education just one click away.
🔹Why Join Us?
Expert Professors
Learn from top international experts who bring together academic knowledge and real business experience.
Practical Learning
Work on real projects using Python, KNIME, Excel, and Tableau to build practical data skills.
Accelerated 7-Day Program
Master essential AI and Data Science skills in just one intensive, focused week.
Dubai: A Global Business Hub
Learn, network, and grow in Dubai, a leading destination for innovation and business connections.
🔹Meet Your Instructors
Prof. Dursun Delen
Oklahoma State University, USA
Regents Professor and Patterson Family Chair at Oklahoma State University, director of the Center for Health Systems Innovation, and faculty member in the Department of Management Science & Information Systems. Holds a PhD in Industrial Engineering and Management from OSU, with academic research focused on decision support systems, machine learning, and healthcare analytics. Has authored over 250 scientific papers and 12 books in data science and business analytics. Led AI-driven research projects funded by NASA, DoD, and NIH. Frequently invited as keynote speaker worldwide. Editor-in-Chief of Journal of Business Analytics and AI in Business.
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Prof. Alireza Daneshkhah
Professor of Data Science
Emirates Aviation University, UAE
Professor of Data Science at Emirates Aviation University, holding a PhD in Bayesian Statistics from the University of Warwick. His academic background includes leading roles at Coventry University and contributions to research centers in predictive modelling and computational science. Specializes in Bayesian machine learning, uncertainty quantification, and deep learning for complex system simulation in health, climate, and infrastructure. Has led multiple UK-funded AI projects involving probabilistic modeling, expert elicitation, and graph-based learning. Member of the International Society for Bayesian Analysis and Fellow of the Royal Statistical Society.
Prof. Meenakshi Kaushik
Professor , LIET , Lloyd group of Institutions,MBA, Ph.D
Dean of Research at Trinity Institute (India) and a global thought leader in digital transformation, AI, and sustainable management.
With over 16 years in academia, she has spoken at leading conferences in Turkey and beyond, earning the LREA Award (London, 2024) for excellence in education.
Her work bridges digital innovation with timeless human values—most notably in her book Digital Transformation: Recent Trends and Practices. At our summer school, she brings a unique perspective on AI for leadership and sustainability, enriched by both analytical insight and spiritual depth.
Prof. Hossein Peyvandi
Dr. Hossein Peyvandi holds a PhD in Electrical Engineering from the University of Surrey, UK.
He has published over 24 papers and holds a patent in cryptography.
His research areas include computational intelligence, network security, and information theory.
He is a Fellow of HEA and a member of IEEE, AMS, and IET.
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