This course offers this training program in Statistics and Data Analysis, designed to equip participants with modern statistical methods for analyzing data and making decisions based on accurate numerical results. This program reflects the growing need across institutions for quantitative tools that support understanding trends, identifying issues, and measuring the effectiveness of plans and programs in a scientific manner.
The program focuses on building a strong knowledge base in statistics, combining theoretical understanding with practical data-analysis skills. It enables participants to work with raw data and extract meaningful indicators that support decision-making across various work environments, including government institutions, private companies, research centers, and nonprofit organizations.
The program also covers essential statistical concepts, data collection and organization methods, graphical representation techniques, probability applications, hypothesis testing, analysis of variance, and regression. Additionally, participants receive hands-on training using data-analysis software such as Excel and SPSS to apply theoretical knowledge in real-world scenarios.