Available courses

Using administrative data to produce official statistics
Methodology and statistical process
Using administrative data to produce official statistics

This course strengthens participants’ understanding of how administrative data can be used to produce official statistics by introducing core concepts, key data quality considerations, and essential metadata practices. It also examines the institutional arrangements and collaboration mechanisms needed to ensure that administrative records—though not collected for statistical purposes—can reliably support national statistical systems’ growing demand for timely and highly disaggregated data.
 
Click here to access the concept note.
Advanced Data Visualization for Official Statistics and SDG Indicators
Methodology and statistical process
Advanced Data Visualization for Official Statistics and SDG Indicators

This course is an advanced course in data visualization, conceived as an extension of SIAP’s facilitated course “Data Visualization for Official Statistics and SDG Indicators,” last conducted in 2024, or, alternatively, of the self-paced course “Principles of Data Visualization for Official Statistics and SDG Indicators,” available on SIAP’s e-learning platform.

This advanced course focuses on methods for producing high-quality graphics for monitoring and publishing official statistics and SDG indicators. It highlights advanced topics in data visualization such as visualizing and representing high-dimensional datasets, visualizing uncertainty, and visualizing networks, among others. It also addresses important issues such as gender and ethical considerations in graphical communication. Additionally, the course proposes resources and practical insights on storytelling and the construction of visual narratives for diverse audiences, promoting inclusive data visualization.

This course is at an advanced level,  participants must have successfully completed one of these courses prior to registration :   

Increasing engagement around data and statistics - Identifying and responding to user needs
Methodology and statistical process
Increasing engagement around data and statistics - Identifying and responding to user needs

The statistics and data produced by National Statistical Offices (NSOs) and other National Statistical System (NSS) agencies do not exist in a vacuum. We can produce the most 'perfect' data in the world, but they are of little value if they are not used. It's therefore essential that we as producers of official statistics engage with our users in order to both understand and respond to their needs. 

Learning objectives: By the end of the course, participants will be able to:

  1. Understand what user engagement is and why it is important for statistics
  2. Identify who their user and potential users are
  3. Apply different tools/methods for engaging with users
  4. Better respond to user needs through effective data storytelling.
Principles of Reproducible Analytical Pipelines
Methodology and statistical process
Principles of Reproducible Analytical Pipelines

 

This Self-paced e-learning course aims to build capacity in statistical offices for the development of Reproducible Analytical Pipelines (RAPs). This course has a practical goal,  participants should have some experience in R programming (see the flyer).

 Completing a mandatory tutorial is required for participants to complete before being able to access to the 4 modules of the course.

Developed with the support of Vanuatu Bureau of Statistics (VBoS).

Principles of Data Visualization for Official Statistics and SDG Indicators
Methodology and statistical process
Principles of Data Visualization for Official Statistics and SDG Indicators

This course introduces data visualization as a tool to produce high-quality graphics for monitoring official statistics and the Sustainable Development Goals (SDGs) indicators.

The course is not based, nor does it focus, on any software. However, some popular software will be introduced and used in the course (Excel, QGIS, R/Rstudio, R Shiny, Google Sheets) as well as references to online tools. 

See the flyer and the concept note

Principles of Machine Learning for Official Statistics and SDGs
Methodology and statistical process
Principles of Machine Learning for Official Statistics and SDGs

--  A facilitated course is organized from 11 August - 26 September --

Enrolment to this self-paced course is paused during that period. 

Come join the facilitated  course!

The course aims at providing an overview of the current methods and applications of Machine Learning, through theoretical concepts, pedagogical case studies and interactive resources. The course is not based on, nor does it require, a particular software. However reproducible examples are provided using the R/RStudio environment and Python.

See the flyer and the concept note

 

Asia-Pacific Data Masterclass
Methodology and statistical process
Asia-Pacific Data Masterclass

Unlock the Power of Data with the Asia-Pacific Data Masterclass!

Are you a senior leader looking to make better decisions?  Or are you a statistician looking to refresh your data skills? Join the Asia-Pacific Data Masterclass, specifically designed for non-analytical leaders across Asia and the Pacific.

This course will empower you to:

  • Integrate data and evidence into the heart of your decision-making;
  • Foster a data-driven culture in your organization;
  • Harness data to shape policy and enhance communication; and
  • Apply cutting-edge data science for more impact.

Elevate your leadership and drive innovation in your organization. Don't miss this opportunity to master the art of data!

Compiling National Metadata for the Sustainable Development Goals
Methodology and statistical process
Compiling National Metadata for the Sustainable Development Goals

All courses