Data-driven decision making

نظرة عامة على البرنامج

This program provides a comprehensive introduction to data science and artificial intelligence, covering fundamentals, data cleaning, and visualization. Led by experts in data science and AI law, it equips participants with the skills to understand, extract insights from, and make data-driven decisions using Python, Pandas, NumPy, and Matplotlib. The program includes a practical module on cleaning and visualizing a business database, demonstrating the real-world applications of data science.

مخطط البرنامج

Outline:

Module 1: Data Science and Artificial Intelligence (AI)

• Fundamentals of data science
• Role of data science in business decision-making
• Data coding methods
• Python programming language using Pandas and Jupiter Notebook

Module 2: Data Cleaning and Visualization

• Data cleaning methods
• Data visualization methods
• Understanding data
• Extracting information from data
• NumPy and Matplotlib libraries
• Visual narration

Module 3: Clean Up and Visualize a Business Database

• Practical example of cleaning, understanding, and visualizing a business database
• Data-driven decision making
• Data cleansing

Teaching:

• Trainers/Teachers:
• Doreid Ammar, Professor in Data Science and Computer Science, Academic Director
• Ysens de France, Associate Professor of AI Law, Director of Foresight at the Sapiens Institute
• Prerequisites: