Applied
APPLIED
FCSC DIPLOMA PROFESSIONAL PROFILE 5:
Synopses
APPLIED COURSES (take 4 out of 6)
FCSC Diploma Module 5.1
FCSC DIPLOMA
Metadata
• Introduction to metadata - definitions and basic concepts
• User focus - contextual design, producers, and external users
• Statistical metadata - questionnaires, classifications, variables, and methodological documentation
• Statistical systems - models, integrated metadata systems, demonstrations of applications
• Use of metadata - the possible functions of metadata
• International metadata work
• Introduction to statistical data and metadata exchange (SDMX)
• Introduction to the data documentation initiative (DDI)
• Introduction to the extensible business reporting language (XBRL) for electronic communication of business and financial data
• Metadata standards and metadata production tools
• Overview of the European statistical system for metadata
FCSC Diploma Module 5.2
National accounts
• Introduction to the accounts of the nation - production account (output), goods and services account (expenditure), income account, capital account of the nation, financial account of the nation, rest of the world account, balance sheet of the nation, and the system of national accounts (SNA) framework for the total economy
• Integrated accounts by industries and institutional sectors - industry and sector breakdown, supply and use tables, institutional sector accounts, other important issues in sector accounts, and price and volume measures in national accounts
• Data collection and estimation methods in the SNA - data collection methods, data from administrative records, data collected by statistical methods, and estimation methods in the SNA
FCSC Diploma Module 5.3
Administrative data
• Introduction to data collection methodologies for surveys and administrative sources
• Statistics based on administrative information - different types of administrative data and their characteristics, and different types of uses for administrative data
• The transfer of administrative information into statistical information
• The use of administrative data in the production of statistics - the register-based approach, advantages and disadvantages of register-based statistics, use of registers for building statistical frames, management of base registers, and developing a register-based statistical system
• Joint use of data from administrative information and statistical surveys
• Data linkage and integration
• Combined and register-based censuses
• Evaluation of the quality of administrative data
• Protection of privacy and confidentiality
FCSC Diploma Module 5.4
Data treatment
• Introduction to data preprocessing - data preprocessing, preprocessing basics, and preprocessing steps
• Data quality - data quality changes, raw files, file formats, and data structure
• Summarising data with statistics - review of basic statistics, basic descriptive statistics, and summarising and condensing data
• Data visualisation and exploratory data analysis - basic plots, exploratory data analysis, histograms, boxplots, barplots, and other plots
• Data cleaning - outliers, missing data, and high-dimensional data
• Feature scaling - dimension reduction methods, regression in high dimensions, and interpreting results in high dimensions
FCSC Diploma Module 5.5
Dissemination and communication of official statistics
• Legal requirements - international requirements, guidelines, and recommendations
• Legal requirements - dissemination in the European statistical system (ESS) Digicom example
• Legal requirements - Open data
• Defining user requirements - understanding what users need
• Defining user requirements - users and user groups, segmentation of the user population
• Defining user requirements - usability testing
• Functionality requirements - designing tables, graphs, maps, and other visualisations for websites
• Functionality requirements - innovative visualisations, documentation of statistics, archiving of statistics
• Functionality requirements - output databases access, application programming interfaces (APIs), bulk downloads, and batch access
• Functionality requirements - statistical confidentiality
• Measuring dissemination - timeliness, punctuality, media impact, and web metrics
• Future of dissemination - opportunities and challenges in social media and web 2.0, mobile devices, and new innovative tools and documentation
• Visualisation tools - helping users to discover new aspects of statistical data and to get a more intuitive understanding of complex data relationships
• The future of print
• Statistical literacy
FCSC Diploma Module 5.6
Geospatial information in statistics
• Geospatial statistics in context
• What is geographic information science?
• The nature of geographic information systems (GIS)
• Main knowledge domains linked to GIS
• Origin and evolution of GIS
• Foundations of spatial representation in GIS
• Spatial data structures
• Spatial relationships
• Spatial data infrastructures
• GIS and official statistics - GIS as a basis for storing statistical information, GIS and census operations, and the use of remote sensing for statistics
• Exploration of online examples of GIS applications
• Case study work on GIS in official statistics
Applied Courses
APPLIED COURSES
PROFILE 5:
Synopses
APPLIED COURSES (take 4 out of 6)
FCSC Diploma Module 5.1
Metadata
• Introduction to metadata - definitions and basic concepts
• User focus - contextual design, producers, and external users
• Statistical metadata - questionnaires, classifications, variables, and methodological documentation
• Statistical systems - models, integrated metadata systems, demonstrations of applications
• Use of metadata - the possible functions of metadata
• International metadata work
• Introduction to statistical data and metadata exchange (SDMX)
• Introduction to the data documentation initiative (DDI)
• Introduction to the extensible business reporting language (XBRL) for electronic communication of business and financial data
• Metadata standards and metadata production tools
• Overview of the European statistical system for metadata
FCSC Diploma Module 5.2
National accounts
• Introduction to the accounts of the nation - production account (output), goods and services account (expenditure), income account, capital account of the nation, financial account of the nation, rest of the world account, balance sheet of the nation, and the system of national accounts (SNA) framework for the total economy
• Integrated accounts by industries and institutional sectors - industry and sector breakdown, supply and use tables, institutional sector accounts, other important issues in sector accounts, and price and volume measures in national accounts
• Data collection and estimation methods in the SNA - data collection methods, data from administrative records, data collected by statistical methods, and estimation methods in the SNA
FCSC Diploma Module 5.3
Administrative data
• Introduction to data collection methodologies for surveys and administrative sources
• Statistics based on administrative information - different types of administrative data and their characteristics, and different types of uses for administrative data
• The transfer of administrative information into statistical information
• The use of administrative data in the production of statistics - the register-based approach, advantages and disadvantages of register-based statistics, use of registers for building statistical frames, management of base registers, and developing a register-based statistical system
• Joint use of data from administrative information and statistical surveys
• Data linkage and integration
• Combined and register-based censuses
• Evaluation of the quality of administrative data
• Protection of privacy and confidentiality
FCSC Diploma Module 5.4
Data treatment
• Introduction to data preprocessing - data preprocessing, preprocessing basics, and preprocessing steps
• Data quality - data quality changes, raw files, file formats, and data structure
• Summarising data with statistics - review of basic statistics, basic descriptive statistics, and summarising and condensing data
• Data visualisation and exploratory data analysis - basic plots, exploratory data analysis, histograms, boxplots, barplots, and other plots
• Data cleaning - outliers, missing data, and high-dimensional data
• Feature scaling - dimension reduction methods, regression in high dimensions, and interpreting results in high dimensions
FCSC Diploma Module 5.5
Dissemination and communication of official statistics
• Legal requirements - international requirements, guidelines, and recommendations
• Legal requirements - dissemination in the European statistical system (ESS) Digicom example
• Legal requirements - Open data
• Defining user requirements - understanding what users need
• Defining user requirements - users and user groups, segmentation of the user population
• Defining user requirements - usability testing
• Functionality requirements - designing tables, graphs, maps, and other visualisations for websites
• Functionality requirements - innovative visualisations, documentation of statistics, archiving of statistics
• Functionality requirements - output databases access, application programming interfaces (APIs), bulk downloads, and batch access
• Functionality requirements - statistical confidentiality
• Measuring dissemination - timeliness, punctuality, media impact, and web metrics
• Future of dissemination - opportunities and challenges in social media and web 2.0, mobile devices, and new innovative tools and documentation
• Visualisation tools - helping users to discover new aspects of statistical data and to get a more intuitive understanding of complex data relationships
• The future of print
• Statistical literacy
FCSC Diploma Module 5.6
Geospatial information in statistics
• Geospatial statistics in context
• What is geographic information science?
• The nature of geographic information systems (GIS)
• Main knowledge domains linked to GIS
• Origin and evolution of GIS
• Foundations of spatial representation in GIS
• Spatial data structures
• Spatial relationships
• Spatial data infrastructures
• GIS and official statistics - GIS as a basis for storing statistical information, GIS and census operations, and the use of remote sensing for statistics
• Exploration of online examples of GIS applications
• Case study work on GIS in official statistics
