Carlos Dias
ISEGI - Information Management and Statistics Higher Institute - The NOVA Information Management School , Portugal
Carlos Afonso Dias is Guest Professor at the NOVA Information Management School (NOVA IMS). In academic terms, I have a Bachelor's Degree in Electrical Engineering from the Higher Technical Institute (IST) and a Master's Degree in Statistics and Information Management from NOVAIMS. He concluded the Diploma of Advanced Studies in Information Management and is completing the Doctorate in Information Management at NOVAIMS.
Since 1990, he has been a Higher Technician Specialist in Statistics at the National Institute of Statistics (INE) where he has exercised functions of chef and management/coordination of collection projects, treatment and dissemination of official statistics.
Completed, in 2006, the High Management Course in Public Administration, at the National Institute of Administration (INA).
Since 1994, he has graduated several cadeiras in the Bachelor's, Post-graduation and Master's courses at NOVAIMS. Consultant and trainer, in particular in the modernization of collection processes, dissemination and management of information. Participation in international projects and task forces in Europe, the Middle East and Africa.
Courses By Speaker
Certificate in “Management of Statistical Systems”
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
Certificate in “Data Quality Management” Basic Intermediate
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
Certificate in “Data Quality Management” - Intermediate Advance
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