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Course 2: Statistical Data Analysis
A practical course on uncovering patterns, relationships, and insights from complex data through statistical analysis and interpretation
What's this Course about?
This workshop focuses on important aspects of creating a smart data collection process, selecting the best sampling approach, validating the quality of stored information for analysis, and identifying corresponding descriptive statistical KPIs.
For all machine learning solutions, data analytics is a must to kick off a career in the world of data. One cannot claim to apply AI analytics without a deep knowledge of data analytics.
This course is designed to give participants a clear and complete understanding of data structuring for efficient analysis, scientifically profiling different groups by analyzing data smartly and efficiently, and appropriately manipulating several technology tools in the market.
For those who believe that statistical tests are key to success ... fasten your seat belts!
Eng. Walid Semaan
Professor Walid Semaan is an MIT-certified data scientist and AI business strategist with four verified certificates in Data Science and Machine Learning, Machine Learning with Python, Artificial Intelligence for Business Strategy, and Natural Language Processing. He is the founder and president of Matrix TRC’s Data Science and AI Academy, developed in partnership with the Lebanese American University, where he co-leads the executive diploma in Data Science, Deep Learning, and AI Solutions.
Walid holds degrees in engineering (ESIB), finance and marketing (ESCP), and an MBA from Paris-Dauphine–Sorbonne. He is the creator of the award-winning Triple One Analytics AI platform, recognized as Best Innovative ICT Project at the Arab Golden Chip Awards in 2011. With over 100 international consulting missions and thousands of teaching hours across master’s programs, Ph.D. research, and executive training, Walid brings unparalleled expertise in research, machine learning, generative AI, NLP, forecasting, and data visualization.
He has trained and advised leading institutions worldwide, including the Central Bank of Lebanon, PwC (Dubai), SCAD (Abu Dhabi), Smart Dubai, OXY Petroleum (Oman), Sanofi–Merck Group (Amsterdam), and the Ministry of Health (KSA), among many others. His passion lies in equipping professionals and organizations with advanced AI and data science tools to drive innovation and impact.
