Advance your SDMX knowledge with the new Learning Resources page
The SDMX Secretariat is excited to announce the launch of the New SDMX Learning Resources page, a comprehensive list of training opportunities for SDMX professionals!
What can you expect from the SDMX Learning Resources?
A curated list of SDMX trainings provided by SDMX Sponsors and members of the wider SDMX community. Whether you are a beginner seeking an introduction to SDMX or an experienced practitioner looking to enhance your skills, this page is your new go-to resource for relevant and high-quality training resources. The list of SDMX trainings cover a range of topics including: data collection, data management, data modelling, metadata management, data reporting and dissemination, SDMX tools, and many more.
Why should you explore these training opportunities?
By participating in SDMX training, you can stay up to date with the latest practices, tools, and techniques in Statistical Data and Metadata eXchange, providing an opportunity to expand your knowledge, improve your data skills, and make a significant impact in your organisation’s data management initiatives.
How to use the SDMX Learning Resources?
Simply visit the new page and explore the various SDMX trainings. Please note that the accuracy of the information depends on the training organisations. We recommend verifying the details directly with the respective providers.
Showcase your SDMX training offerings
If you provide SDMX training and want to showcase your offering you can submit the required information to [email protected]. It’s an excellent opportunity to reach a wide audience and contribute to the growth of the SDMX community.
Let’s advance together
The launch of the SDMX Learning Resources marks a significant step forward in supporting the continuous growth and upskilling of the SDMX community. The SDMX Secretariat is committed to providing a space that fosters learning, collaboration, and innovation.
Join us in advancing your SDMX knowledge and building a stronger data-driven future