Back

An introduction to SDMX structural modelling for data producers

In this course, you will learn about the Statistical Data and Metadata eXchange data modelling and how to practically apply it in the .Stat Suite context.

User Avatar

Overview

This version is now closed from new enrolments!  An updated and enhanced version of this course is now available.
Don’t worry, any learner currently enrolled can chose to continue to finish this version, or if you wish, move over to the new version straight away. Any learner who is already certified will retain their certification and will not need to complete this new version.

 

COURSE DESCRIPTION

This course, An Introduction to SDMX structural modelling for data producers, is designed for Data Producers (Methodology Adviser, Statistical Assistant, Statistician, Data Reporter…) as a way to introduce the knowledge needed to design SDMX structures, including in the .Stat Suite context.

LEARNING OUTCOMES

  • Understanding the meaning of SDMX meta(data) structural modelling.
  • Learn the step-by-step method for structural modelling.
  • Familiarise with the tools to apply the method in .Stat Suite.

In each module you will be asked a few questions to help you remember the contents and reinforce your understanding.

CERTIFICATION

Upon completion of this course you will receive a certificate of completion.

Curriculum

Reviews

Free

NOTE: You have to pass these courses before you can enroll this course.

Now available! .Stat Academy FREE course, SDMX vocabulary for data managers, is designed for Data Managers (Methodology adviser, Statistical Assistant, Statistician, Data Reporter…) as a way to further extend their understanding of basic SDMX terms for general data related processes.

In this course, you will learn about:

  • Learn how to model reference metadata
  • Understand the SDMX artefacts that formalise the reporting of data and metadata
  • Familiarise with SDMX features for exchanging data and metadata