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Course 7 - Forecasting Models from A to Z

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  • Level:  Advanced
  • Prerequisite: 
  • Time to Complete: 2-3 Months 
  • Course Availability: 6 Months 
  • Videos (to date):   /  
  • Assessments:  
  • PPT Slides:  
  • Author: Eng. Walid Semaan

What's The Course About

Overview

There is often confusion between forecasting methodologies and predictive modeling using supervised machine learning algorithms. While the latter relies on external information for its predictions, forecasting uses its own data.
This workshop aims to provide a comprehensive understanding of all forecasting methods and how to apply them for near-future predictions. It will cover basic models and then explore the evolution of various methods, enabling participants to use them effectively. Understanding all quality indicators will help participants select the best forecasting model for their businesses. 

Topics Covered

  • Linear and Polynomial trends
  • Exponential, Power, and Logarithm trends.
  • Averaging and Moving Averages.
  • Simple, Double, and Triple models in exponential smoothing.
  • Time Series
  • ARIMA and Box Jenkins method

  • Unique learning paths

    Compare forecasting with supervised machine learning.
    Learn how to select between forecasting models
    Evaluate the relationship between the future and the past.
    Measure the impact of the past on the near future
    Analyze all forecasting methods and their evolution.
    Develop all analytical models for estimation.
    Master the precision measures of models’ quality.
    Select the best forecasting model.
    Apply models with specialized software.We guarantee you an exceptional experience with flexible learning paths and professional guidance

  • Video conferencing

    Enhance your virtual programs by allowing your learners to access high-quality live sessions through desktop and mobile

  • Discuss with others

    Participate in our online forum, share thoughts and ideas, increase connection, get help with your studies
Instructor

Eng. Walid Semaan

    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 two extensive university programs in partnership with American University of Science and Technology and the Lebanese American University, where he co-leads the executive diploma in Data Science, Deep Learning, and AI Solutions in partnership with SAS.
    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 more than 100 international executive training missions and thousands of teaching hours across master’s programs and Ph.D. research.
     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 Data Science and AI tools to drive innovation and impact.