Statistical agencies work on producing large quantities of data, information and indicators to make their statistical output available to the public at different levels.  
It’s worth mention that the purpose of the statistical system is to provide timely and high-quality data and information to support decision maker and policymaker for the purpose of planning, monitoring progress, evaluating performance and informing the public, researchers and all users about the performance of society, economy and government.  
The British Academy presents this workshop in statistical and statistical reports to develop the skills of statisticians, analyze statistical data and write reports, which helps in making decisions and drawing up administrative and financial plans based on accurate and important information to improve the performance of organizations. 

Who should attend? 

• Managers of the Central Administration 
• Employees in information management centers 
• Statistical analysts 

How attendees will benefit? 

After completion of the workshop, delegates will be able to know: 

• Introducing the basic concepts of statistics and its importance in research 
• Identify methods of field data collection and statistical research 
• Training participants in using statistical tools and introducing SPSS 
• Developing the knowledge and skills of participants in the use of computers in the field of data analysis and scientific research. 
• Enable participants to write reports in an appropriate scientific manner 

• Introduction to statistics
  • The concept of statistics and its importance in data science and decision making.
  • Types of data and how to analyze them.
  • Foundations of designing statistical studies.
• Exploratory data analysis
  • Use graphs and charts to visualize data.
  • Analysis of probability distributions and key variables.
  • Regression analysis and statistical forecasts.
  • Use statistics programs such as Excel and SPSS in exploratory analysis.
• Inferential statistical analysis
  • Analyze differences between groups using statistical tests.
  • Predicting values and regression analysis.
  • Interpreting the results and conclusions of statistical research.
• Designing statistical reports
  • Basics of report design and content organization.
  • Use tables and graphs to present data effectively.
  • Factors affecting the quality of statistical reports and improving them.
• Practical applications and case studies
  • Analyze real data and interpret results.
  • Applying statistical methods to solve practical problems.
  • Providing accurate statistical reports based on case studies.
• Statistics tools and software
  • Use specialized statistics programs such as SPSS, R, and others.
  • Practical applications using statistical software to analyze data.
  • Compare different tools and software to choose the most appropriate for analysis.