Data analysis is currently one of the leading fields in the global business landscape. Its importance lies in being a powerful measurement and decision-support tool, widely used across various sectors, most notably in the commercial sector. With the emergence of artificial intelligence and its integration into all fields, its strongest synergy appears within data science—specifically data analysis and artificial intelligence. The accuracy and speed of AI significantly contribute to extracting clear, precise, and reliable results.

The program runs over 3 days, on 18 – 20 October 2026, from 4:00 PM to 9:00 PM, at a hotel venue. It is delivered in English by Dr. Madonna Ghanem.

Group offer: in case you register 2 candidates, the third candidate will be free of charge.

Introduction to Artificial Intelligence & Data Analysis

• Fundamentals of artificial intelligence and data analysis tools.
• Concepts of machine learning, classification and prediction techniques, statistical analysis, and programming tools used in data analysis.

Data Collection and Preparation

• Methods for collecting and aggregating data from various sources and preparing it for analysis.
• Techniques for handling big data, cleaning it, and transforming it into analyzable formats.

Statistical Analysis Techniques

• Understanding and applying statistical analysis techniques in data analysis.
• Applying appropriate statistical tests and deriving meaningful statistical results.

Machine Learning Techniques

• Applying machine learning techniques in data analysis.
• Using predictive models, classification techniques, hierarchical clustering, artificial neural networks, and other methods.

Artificial Intelligence Applications in Various Fields

• Overview of AI applications in fields such as e-commerce, healthcare, marketing, and finance.
• Analyzing data within these fields and implementing intelligent solutions to maximize data value.

Image and Video Analysis

• Analyzing visual data such as images and video clips using artificial intelligence techniques.

By the end of this training course, you will have learned how to:

• Master data analysis through hands-on training focused on understanding and analyzing data and its related variables.
• Enhance analytical capabilities by utilizing artificial intelligence tools in data analysis.
• Use appropriate models and algorithms for data analysis and for extracting information and insights.
• Become familiar with machine learning programs, deep learning techniques, and the working mechanisms of each application.
• Identify programming languages that develop technical and coding skills, enabling a better understanding of tools used in AI-driven data analysis applications.
• Apply data preparation techniques, handle missing data, address statistical issues, and solve common challenges encountered in data analysis.
• Gain practical experience using artificial intelligence applications in data analysis.
• Complete real-world applied projects involving data collection, analysis, and result extraction to prepare participants for the job market.