This course aims to equip participants with the essential and practical 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 professional, informed decision-making using modern Python libraries such as Pandas.

The course combines both theoretical and practical aspects, where trainees 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.

• Understand the fundamentals of data analysis using Python libraries.
• Use Python libraries to manage and transform data into clear insights that support informed decision-making within organizations.
• Apply data cleaning and preprocessing techniques to real-world datasets.
• Train on multiple practical case studies that simulate real job market scenarios.
• Present analysis results in a way that supports institutional 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, institutional, or industrial sectors who aim to enhance their analytical capabilities and establish data-driven, intelligent departments. 

Mr. Raed Jardaneh

• Researcher and specialist in Business Intelligence and Data Analysis.
• Master’s degree in Business Intelligence and Data Analysis – An-Najah National University.
• Practical experience in developing Power BI dashboards and enterprise analytics systems.
• Supervisor of action research projects in data analysis applications within academic and industrial institutions. 

15 Hours