Carlos Dias

National statistics offices organise themselves and function in alignment with the statistical value chain and the framework of official statistics. Statistical systems are described as either centralised or decentralised depending on the extent to which responsibility for delivering official statistics across the range of government activities lies with the central institution. A statistical system “works” combining user needs, the framework of official statistics as well as the integration within an international statistical system. Our Certificate in “Management of Statistical Systems” course provides learners with awareness of the importance on the linkage between statistical classifications and respective statistical units in order to integrate them in the dissemination structures. It also helps them understand and combine the relationship among administrative registers, “classical” sources of statistical data and the integration of data from different sources as well as am understanding of how to plan, implement, maintain and control the quality of a statistical operation.

Course outline:

• Statistical systems – statistical information needs, the role of official statistics
• Organisation and functioning of the national statistical system, the European and international statistical systems
• Concepts and statistical classifications – statistical harmonisation and international comparability
• Statistical sources – central business registers, combining data from different sources
• Statistical operations – methods and modes of data collection in statistical systems
• Dissemination of statistics – creation and exploitation of statistical databases, publications and statistical dissemination

Data quality is an element of increasing importance for users and for the credibility of the statistical systems. Data quality management provides a context-specific process for improving the fitness of data that’s used for analysis and decision making. The goal is to create insights into the health of that data using various processes and technologies on ensuring its quality. Data quality in itself is not the goal but rather a tool to achieve the outcome that depends on that quality. Our Certificate in “Data Quality Management” course provides learners with an understanding of the relationship between the fundamental elements that contribute to statistical activity and quality assessment, mostly based on the recommendations of the United Nations National Quality Assurance Framework. It also provides insights into the linkages between the Fundamental Principles of Official Statistics (FPOS) and the 2030 Agenda for Sustainable Development.

Course outline:

• Fundamental elements that contribute to statistical activity
• Fundamentals on the statistical planning and implementation
• Main statistical concepts concerning quality assessment
• Principles Governing International Statistical Activities
• Fundamental Principles of Official Statistics
• Definition of quality in statistics
• Product quality and quality reporting
• Example of national product quality
• Process quality
• Tools for measuring product quality components
• Quality management and quality frameworks
• International standards organization (ISO9001)
• Tools for measuring perceptions of various actors
• Strategic management and policy

Data quality is an element of increasing importance for users and for the credibility of the statistical systems. Data quality management provides a context-specific process for improving the fitness of data that’s used for analysis and decision making. The goal is to create insights into the health of that data using various processes and technologies on ensuring its quality. Data quality in itself is not the goal but rather a tool to achieve the outcome that depends on that quality. Our Certificate in “Data Quality Management” course provides learners with an understanding of the relationship between the fundamental elements that contribute to statistical activity and quality assessment, mostly based on the recommendations of the United Nations National Quality Assurance Framework. It also provides insights into the linkages between the Fundamental Principles of Official Statistics (FPOS) and the 2030 Agenda for Sustainable Development.

Course outline:

• Fundamental elements that contribute to statistical activity
• Fundamentals on the statistical planning and implementation
• Main statistical concepts concerning quality assessment
• Principles Governing International Statistical Activities
• Fundamental Principles of Official Statistics
• Definition of quality in statistics
• Product quality and quality reporting
• Example of national product quality
• Process quality
• Tools for measuring product quality components
• Quality management and quality frameworks
• International standards organization (ISO9001)
• Tools for measuring perceptions of various actors
• Strategic management and policy