Introduction to Data Science

The training course aims to provide a comprehensive overview of all aspects of data science, equipping trainees with the essential skills and knowledge needed to excel in this field.

During the course, participants will be able to understand the principles of data analysis, visualization, and interpretation through practical exercises and applications, enabling them to derive meaningful insights from complex data sets and contribute to organizational success.

Educational Objectives

• Building a strong foundation in the core principles of data science.
• Exploring advanced topics in data science, including data mining techniques, data visualization, and artificial intelligence
• Learning through applying theoretical concepts to real-world scenarios through hands-on exercises and projects, such as writing SQL queries to build machine learning models in Python.
• Cultivating critical thinking.
• Engaging with fellow trainees, sharing ideas, and collaborating on projects.
• Empowering trainees with the knowledge, skills, and confidence needed to excel in the field of data science.

Trainer

• The trainer Ahmed Murad
  Ahmed recipient of the Consulting Excellence Award with NCR, holds a PMP professional certification and has extensive and ongoing experience in sales support for account managers, regional sales managers, cash management, and software solutions at NCR in the Middle East and Africa regions.
• The trainer Anas Ershad
  Anas has extensive experience in data analysis on AI platforms such as Keras and TensorFlow, supervising ML, and data analysis using Pandas, SciPy, NumPy, scikit-learn, and data visualization using Matplotlib, Streamlit, Plotly, Dask, folium.Additionally, he is skilled in data management using PostgreSQL, MongoDB, Neo4J, and is an expert in automation and ETL tools such as Airflow, Docker, ELK, and Selenium.Ahmed holds a M.Sc. in Business & Data Analytics.