This course aims to equip participants with essential, hands-on skills in data analysis using the Python programming language. Participants will learn how to import, clean, analyze, and transform data into clear insights that support informed decision-making. The course utilizes modern Python libraries such as Pandas to ensure a professional and efficient workflow.

Combining both theoretical and practical components, the course enables trainees to work on real-world data analysis projects that prepare them for the job market in fields such as artificial intelligence, data science, and business intelligence.

• Understanding the fundamentals of data analysis using Python libraries.
• Using Python libraries to manage and transform data into clear insights that help organizations make informed decisions.
• Applying real-world data cleaning and preprocessing techniques.
• Training on multiple practical case studies that simulate real labor-market scenarios.
• Presenting analytical results in ways that support organizational decision-making.

• Students and graduates in the fields of Business Administration, Accounting, Economics, Business Intelligence, Data Analysis, Information Technology, Management Information Systems, and Engineering.
• Individuals interested in building a career path in data analysis and business intelligence.
• Professionals working in academic, corporate, or industrial sectors who wish to enhance their analytical capabilities and build smart, data-driven departments.

Mr. Raed Jardanah

Researcher and specialist in Business Intelligence and Data Analysis.

Master’s degree in Business Intelligence and Data Analytics – An-Najah National University.

Practical experience in developing Power BI dashboards and institutional analytics systems.

Supervisor of action-research projects focused on applying data analysis techniques within academic and industrial institutions.

30 Hours