Registration for Eurostat webinars for young statisticians open to EMOS

On Wednesday, 4 December, a series of Eurostat webinars for young statisticians open to EMOS will be kicked off. This webinar series is organised as part of the European Statistical Training Programme (ESTP), and the webinars are an integral part of the EMOS webinar series. The series includes six webinars of two hours.

>> If you would like to participate, please register by completing this form before Monday, 11 November.

The six sessions will take place as follows:

• Integrating data from multiple sources - used methods and tools (Ton de Waal, Arnout van Delden), 4. 12. 2024 (15.00 – 17.00 CET)
  Discover the methods and tools used for combining data from diverse sources, enhancing the comprehensiveness and accuracy of official statistics.
• How to gather and evaluate user needs in official statistics (Sascha Oliver Rusch), 12.12.2024 (10.00 - 12.00 CET)
  Understand methodologies and best practices for identifying and assessing user needs to improve the relevance and usability of official statistical data.
• JDemetra Basics (Anna Smyk), 12.12.2024 (15.00 – 17.00 CET)
  Get an introduction to JDemetra, a tool used for seasonal adjustment of time series data in official statistics, covering its fundamental features and functionalities.
• Privacy Enhancing Technologies for Official Statistics (Peter-Paul de Wolf), 28.01.2025 (15.00 – 17.00 CET)
  Delve into technologies designed to protect privacy in the collection, processing, and dissemination of official statistics, ensuring data confidentiality.
• Geospatial Analysis (Miroslaw Migacz, Amelia Wardzinska-Sharif), 6.2.2025 (15.00 – 17.00 CET)
  Learn about geospatial analysis techniques for analyzing and visualizing spatial data, aiding in the interpretation and presentation of official statistics.
• Machine Learning for Official Statistics (Ahmet Emin Tatar), 18.2.2025 (15.00 – 17.00 CET)
  Explore the use of machine learning techniques such as classification, clustering, and predictive modeling to enhance the accuracy and efficiency of official statistics.