Statistical Methods and Applications - Metodi statistici e applicazioni

Learning goals Knowledge at an intermediate and advanced level of the main issues in official statistics with special attention to data quality Knowledge and understanding Knowledge and understanding of statistical methods within the topics of official statistics in an changing environment Applying knowledge and understanding Ability to apply statistical methods for official statistics problems with emphasis on the data quality process Making judgements Ability of choosing appropriate methods in different problems in official statistics with emphasis on the data quality process Communication skills Ability of communicating results of the analyses in official statistics with emphasis on the data quality process Learning skills Students acquire skills useful to approach more advanced topics in official statistics and data quality management ============================================================================================= Programme Introduction to the course. European Statistical System: bodies and functioning. Code of practice, peer review 2021-23. Data Quality and privacy. Data Quality in: Metadata and SDMX; Survey Data; Census Data; Administrative Data; Register Data; Sample Data; Output Data; Big Data. Quality of Machine Learning Models. Trusted Smart Statistics. The impacts of Covid-19 on Data Quality in the official statistics. Analysis of feedbacks and user's satisfaction analysis. Applications in R software. Adopted texts References from the lectures. Bibliography Eurostat: European Statistics Code of Practice - ed 2017 Exam modes The exam consists of two steps: 1. short paper containing all the contents of the programme, that focuses the attention on particular data type (chosen by the student, as his preference). It is constituted by three parts: an introduction containing all the main concepts; a core containing a description of the chosen data type and their quality; conclusions, focusing on the solution or personal proposals about an opened issue in the (the chosen type) data handling. 2. discussion of the short paper and any questions about the programme.