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Visualizing and Describing Data

It all starts there ...
  • Target Audience: Anyone
  • Duration:  18 hours 
  • Videos:  64
  • PPT Slides: 800+
  • Author: Eng. Walid Semaan

What's The Course About

  • Overview

    This course is designed for anyone who wants to make data speak clearly and convincingly. This hands-on program guides you through structuring data for analysis, mastering tabulations and pivot tables, and creating compelling visualizations. You’ll explore key descriptive statistical KPIs, grasp the fundamentals of probability laws, and understand the normal distribution and the central limit theorem. By the end, you’ll be equipped with the tools to perform accurate estimations and apply effective sampling techniques—giving you the confidence to turn raw data into actionable insights.
  • Topics Covered

    1- Structuring Data for Analysis
    2- Tabulations and Pivot Tables
    3- Data Visualization
    4- Descriptive Statistical KPIs
    5- Probability Laws
    6- Normal Distribution
    7- Central Limit Theorem
    8- Estimations
    9- Sampling Techniques

Videos

PPT Slides

Exercises

Case Studies
Author

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.