Official Statistics II

Teaching results

Skills
Students will develop skills in the use of statistical software and tools for processing large data sets. They will be able to effectively communicate complex statistical knowledge to a variety of audiences, create data visualizations, and prepare data-driven reports and analyses.
Knowledge
Students will gain an in-depth understanding of the principles and methodologies of official statistics, including the collection, processing, analysis and interpretation of statistical data. They will learn to recognise and evaluate different data sources and methods of statistical information production in the context of national and European standards.
Competencies
Students will be prepared to work in multidisciplinary teams and contribute to data and evidence-based decision making. They will acquire the ability to critically evaluate statistical data, adhere to ethical standards in working with data, and understand the importance of official statistics in supporting social and economic development.
Upon successful completion of the course, students will be able to demonstrate the following skills, knowledge and competencies:
Official statistics system
- Understanding the importance of official statistics as a basis for data-driven policymaking.
- Knowledge of the organisation and role of the European Statistical System (ESS) and the European System of Central Banks (ESCB).
- Understanding the role of the main institutions working with official statistics at national and international level, such as Eurostat, ECB, IMF, etc.
- Application of the principles of the Code of Practice for European Statistics and understanding of the ethical principles and laws related to statistical data production.
Production models and methods
- Knowledge and use of a variety of data sources for statistical production, including censuses, surveys, administrative data, and big data.
- Ability to design and manage production processes with an emphasis on data quality.
- Understanding and application of various production models, including metadata management and statistical processes.
Topics in official statistics
- Understanding of methodological issues and the application of statistical methods to the production and analysis of data in specific domains such as economics, social conditions, international trade and other relevant areas.
Statistical methods
- Knowledge and application of advanced statistical methods, including sampling, imputation, big data analysis, time series and more.
- Discussion of confidentiality and data protection issues in the production and dissemination of statistical information.
Data dissemination
- Ability to effectively present data to different types of audiences using modern communication channels.
- Familiarity with data dissemination tools such as data warehouses, visual graphics and interactive web applications.