Description: Celebrate the world of Statistics and Data Science throughout the four days of WSC 2025. Over 1500 statisticians and data scientists from academia, official statistics, private sector businesses, central banks, statistical societies, junior, and senior professionals will benefit from more than 200 premium sessions and talks featuring some of the industry's most influential names.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Source: Eurostat (Data extracted on: 11 Dec 2023 )
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Organizer(s): Eurostat Icon-Institut
Description: * Provide an overview of the key concepts of SEEA ecosystem accounting; * Provide an overview of how national ecosystem accounts are constructed, and how they relate to ‘mainstream’ environmental and national accounting, * Provide understanding the data and tools used to construct the component parts of the accounts (e.g. spatial and environmental data in GIS for ecosystem extent; ecosystem services evidence; monetary valuation techniques).
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of ecosystem accounting.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Source: Eurostat (Data extracted on: 11 Dec 2023 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: To learn state of the art techniques in survey sampling.
Target Audience: NSI statisticians dealing with surveys faced with the challenge to change data collection methods such as mixed mode strategies and adaptive survey designs. Additionally they face the use of administrative data and big data in the survey design and weighting stage.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Make the participants aware of what is involved in the acquisition of PHD for use in official statistics, including the European legal and policy background and what is needed for developing partnerships. The course should enable the participants to apply the acquired knowledge in roles such as developing policies concerning the acquisition and use of PHD and developing partnerships.
Target Audience: Staff from NSIs who are involved or wish to become involved in the acquisition of privately held data (PHD) as a source for official statistics. This engagement may come in different shapes, such as involvement at a legal or policy level, in negotiations with holders of PHD or stakeholders engagement.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Providing participants with a better understanding of the principles of creating, developing and disseminating data visualisations to a wide audience: * Various means of content visualisation (infographic, video, animation, etc.); * Different ways of using infographic, video, animation; * The do’s and don'ts of content visualisation; * How to display your own content and organise it effectively; * How the media use visual material; * Familiarize participants with open-source data visualization tools commonly used in statistics. Equip participants with the necessary skills to effectively analyze and present statistical data using open-source tools.
Target Audience: ESS staff with some basic knowledge of data visualisation.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * To provide the participants with a state of the art knowledge of the methodology and practice of nowcasting; * To introduce the participants to the use of R to produce nowcasts for their own series.
Target Audience: Staff of national statistical institutes involved in the production process who want to acquire a good understanding of nowcasting methods and practices.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The main objective of the courses is to enhance the theoretical and practical knowledge related to the treatment of unit non-response and item non-response. In particular, participants will gain knowledge on weighting techniques in order to deal with unit non-response and imputation techniques in order to deal with item non-response. For unit-nonresponse, participants will also learn about up to date monitoring of data collection and application of adaptive survey designs.
Target Audience: All NSIs staff dealing with data collection facing non-response, either unit non-response where entire units intended to be collected are missing or item non-response where some items of otherwise responding units are missing.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The content produced by a statistical organisation is essentially facts and figures. This course will explain how you can translate it to a more understandable and simple way and reach everybody outside the statistical world. Writing in a clear, concise and simple manner while avoiding statistical jargon.
Target Audience: Staff drafting /writing statistical texts and articles for publications, the web or any other type of product. Staff working in the communication/dissemination/press departments with the role of promoting the widest possible dissemination and use of official statistics.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). Both a brief, overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered. Introductions to each of the 3 main accounts, Environmental Taxes, EGSS, EPEA, plus some relevant extensions such as environmental subsidies and related transfers and ReMEA (resource management expenditure accounts) will be in focus. The course will make emphasis in putting together the practical difficulties that participants have in their offices to produce the monetary environmental accounts and discussing solutions and best practices.
Target Audience: * Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above. * Managers with responsibility on several or all the areas listed above.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The course should provide participants with a better understanding of the underlying principles and concepts of European and international economic and social classifications, their content and use.
Target Audience: Any statistician of a National Statistical Institute (including newcomers) dealing with any statistical domain and wishing to understand better the system of classifications used.
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: The objective of this course is to provide the participants with an overview of Statistical disclosure theory and methods related to tabular data protection and microdata protection, as well as the respective software. Participants will be asked to bring case studies that will be discussed in the training.
Target Audience: Staff dealing with statistical confidentiality
Source: Eurostat (Data extracted on: 07 Mar 2024 )
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Organizer(s): Eurostat Icon-Institut
Description: Objectives: * Validation and reporting results of machine learning methods. * Mathematical concepts of supervised and unsupervised machine and deep learning models, like PCA, SVM, trees, ensembles and neural networks. * Use of scikit-learn, matplotlib, pandas, tensorflow, keras to design models and perform machine learning experiments * Understanding of symbolic computation for backpropagation and gradient descent * Model selection, Hyper-parameter tuning and practical considerations * Understanding the lego bricks of neural networks (deep learning) and the numerical issues, in particular vanishing gradients. * Use pretrained models for text and vision applications with libraries like deeppavlov and detectron2.
Target Audience: Python programmers with ambitions to apply machine and deep learning in software engineering and research questions.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Source: Eurostat (Data extracted on: 03 Jul 2023 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Description: The Wiesbaden Group on Business Registers is an international expert group under the umbrella of the UN Statistical Commission engaged in further development of business registers, survey frames and associated topics. The group provides a forum for the exchange of views and experiences and the conduct of joint work related to the development, maintenance and use of business registers. The group's work supports a more integrated approach to structural economic statistics and addresses new, globalization-related analytical needs. It is engaged with contemporary and emerging issues in the development and use of business registers. In particular, the Wiesbaden Group tackles forward-looking matters and identifies new challenges concerning business registers in the wider sense. The group analyses the changing nature and roles of the business register as the backbone of business statistics and a source of statistical data in its own right. The Wiesbaden Group is an informal body and participation is voluntary. Participants are, however, required to contribute to the programme of the biannual meetings of the group. Although its mandate does not emanate from a formal body, the Wiesbaden Group reports to the UN Statistical Commission on its activities and recommendations of practices and standards.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Make the participants aware of what is involved in the acquisition of PHD for use in official statistics, including the European legal and policy background and what is needed for developing partnerships. The course should enable the participants to apply the acquired knowledge in roles such as developing policies concerning the acquisition and use of PHD and developing partnerships.
Target Audience: Staff from NSIs who are involved or wish to become involved in the acquisition of privately held data (PHD) as a source for official statistics. This engagement may come in different shapes, such as involvement at a legal or policy level, in negotiations with holders of PHD or stakeholders engagement.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Objectives of the course: * To provide the participants with a state of the art knowledge of the methodology and practice of nowcasting; * To introduce the participants to the use of R to produce nowcasts for their own series.
Target Audience: Staff of national statistical institutes involved in the production process who want to acquire a good understanding of nowcasting methods and practices.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The main objective of the courses is to enhance the theoretical and practical knowledge related to the treatment of unit non-response and item non-response. In particular, participants will gain knowledge on weighting techniques in order to deal with unit non-response and imputation techniques in order to deal with item non-response. For unit-nonresponse, participants will also learn about up to date monitoring of data collection and application of adaptive survey designs.
Target Audience: All NSIs staff dealing with data collection facing non-response, either unit non-response where entire units intended to be collected are missing or item non-response where some items of otherwise responding units are missing.
Source: Eurostat (Data extracted on: 29 Dec 2022 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The content produced by a statistical organisation is essentially facts and figures. This course will explain how you can translate it to a more understandable and simple way and reach everybody outside the statistical world. Writing in a clear, concise and simple manner while avoiding statistical jargon.
Target Audience: Staff drafting /writing statistical texts and articles for publications, the web or any other type of product. Staff working in the communication/dissemination/press departments with the role of promoting the widest possible dissemination and use of official statistics.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The course will provide participants with training on the compilation of SEEA-CF monetary environmental accounts as requested by Regulation 691/2011 on European environmental economic accounts (amended by Regulation 538/2014). Both a brief, overall introduction to the different accounts, including relevant definitions, classifications, and approaches to compilation will be covered. Introductions to each of the 3 main accounts, Environmental Taxes, EGSS, EPEA, plus some relevant extensions such as environmental subsidies and related transfers and ReMEA (resource management expenditure accounts) will be in focus. The course will make emphasis in putting together the practical difficulties that participants have in their offices to produce the monetary environmental accounts and discussing solutions and best practices.
Target Audience: * Junior statisticians of environmental statistics or environmental accounts departments involved in compiling data on Environmental Goods and Services Sector (EGSS) Accounts, Environmental protection expenditure accounts (EPEA), environmental taxes or environmental subsidies and other transfers. * Specialists in one of the areas listed above who need to improve their knowledge of the other areas listed above * Managers with responsibility on several or all the areas listed above.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The course should provide participants with a better understanding of the underlying principles and concepts of European and international economic and social classifications, their content and use.
Target Audience: Any statistician of a National Statistical Institute (including newcomers) dealing with any statistical domain and wishing to understand better the system of classifications used.
Source: Eurostat (Data extracted on: 03 Feb 2023 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The objectives of the course are: * Validation and reporting results of machine learning methods. * Mathematical concepts of supervised and unsupervised machine and deep learning models, like PCA, SVM, trees, ensembles and neural networks. * Use of scikit-learn, matplotlib, pandas, tensorflow, keras to design models and perform machine learning experiments * Understanding of symbolic computation for backpropagation and gradient descent * Model selection, Hyper-parameter tuning and practical considerations * Understanding the lego bricks of neural networks (deep learning) and the numerical issues, in particular vanishing gradients. * Use pretrained models for text and vision applications with libraries like deeppavlov and detectron2.
Target Audience: Python programmers with ambitions to apply machine and deep learning in software engineering and research questions.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Provide an overview of the key concepts of SEEA ecosystem accounting Provide an overview of how national ecosystem accounts are constructed, and how they relate to ‘mainstream’ environmental and national accounting Provide understanding the data and tools used to construct the component parts of the accounts (e.g. spatial and environmental data in GIS for ecosystem extent; ecosystem services evidence; monetary valuation techniques).
Target Audience: NSIs and Other National Authorities (with lower priority), working in the field of ecosystem accounting.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The goal of this activity is to provide participants with basic knowledge about the syntax and basis of the R programming language and to provide an overview of the main packages which are important for the statistical production process. The activity will pay special attention to these packages devoted to management of large databases and the analysis of complex surveys.
Target Audience: Statistical production units and methodologist of NSIs.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Make the participants aware of what is involved in the acquisition of PHD for use in official statistics, including the European legal and policy background and what is needed for developing partnerships. The course should enable the participants to apply the acquired knowledge in roles such as developing policies concerning the acquisition and use of PHD and developing partnerships.
Target Audience: Staff from NSIs who are involved or wish to become involved in the acquisition of privately held data (PHD) as a source for official statistics. This engagement may come in different shapes, such as involvement at a legal or policy level, in negotiations with holders of PHD or stakeholders engagement.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: To learn state of the art techniques in survey sampling.
Target Audience: NSI statisticians dealing with surveys faced with the challenge to change data collection methods such as mixed mode strategies and adaptive survey designs. Additionally they face the use of administrative data and big data in the survey design and weighting stage.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Providing participants with a better understanding of the principles of creating, developing and disseminating data visualisations to a wide audience: Various means of content visualisation (infographic, video, animation, etc.); • Different ways of using infographic, video, animation • The do’s and don'ts of content visualisation • How to display your own content and organise it effectively • How the media use visual material.
Target Audience: ESS staff with some basic knowledge of data visualisation.
Source: Eurostat (Data extracted on: 30 Aug 2022 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: To provide the participants with a state of the art knowledge of the methodology and practice of nowcasting To introduce the participants to the use of R to produce nowcasts for their own series.
Target Audience: Staff of national statistical institutes involved in the production process who want to acquire a good understanding of nowcasting methods and practices.
Source: Eurostat (Data extracted on: 31 Jan 2022 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: Learn how to extract relevant information for statistical purposes from huge amounts of data.
Target Audience: IT professionals whose role is to support statisticians with big data infrastructure, either via local big data clusters or via cloud solutions, and the engineering of big data processing. Methodologists and statisticians with a strong IT background who are expected to handle big data infrastructures and unstructured data.
