In this page you can find the Open Risk Academy Courses that are currently available with a Self-Enrollment option.
Can't find a suitable course? Use the course request form and subject to resources and subject-matter fit we will try to accommodate!
This course is an Open Risk Academy CrashCourse introduction to using Linux command line tools to work (in particular) with large text files encoding numerical data in matrix format. A central role is played by awk, the venerable UNIX pattern-matching language and tool.
This course is an introduction the Copernicus Satellite Data Ecosystem. It covers the following topics:
Data Scientists / Data Engineers in any Domain that need to use satellite data
A brief review of the linear algebra and matrix theory concepts underpinning standard environmentally extended input-output models.
This brief introduction in Input-Output Model mathematics discusses the basic elements of linear algebra that are necessary to understand the standard Input-Output models, including their Environmental impact extensions.
Matrix theory is the main subject covered here as it is the most dominant mathematical tool used in this area (though other parts of mathematics do find applications in Input-Output analysis). The focus is on the notation and mathematical objects commonly used, not the economic interpretation or any mathematical proofs.
This course is an introduction to Tensor calculations with Eigen, a popular C++ library for working with numerical arrays and linear algebra. It covers the following topics:
Developers in any Domain that need to use higher-dimensional numerical data containers
This is a short introductory course on Input-Output analysis that focuses on stylized interactive calculations that can be performed directly within the online reading sections.
The level of the course is introductory. There are no significant mathematical nor computer science prerequisites. The course should be useful for anybody wishing to obtain insights into the flow of the basic calculations behind modern large-scale Environmentally Extended Input-Output Models.
A multipe-choice Quiz based on the Climate Dictionary developed by the United Nations Development Programme. The quiz provides an educational tool to enable deeper understanding of essential terminology around Climate Change and Climate Risk.
The quiz consists of circa 65 questions of multiple choice type. The objective is to enable anybody interested in climate change to benchmark their knowledge of these key terms.
The GPP challenge game is hosted in the sustainability.town, an online platform dedicated to hands-on demonstrations and applications of Sustainable Portfolio Management concepts and methodologies. It is part of a new series of serious games covering a wide range of important concepts in an engaging manner.
| Introductory Level | Core Level | Advanced Level | |
| Non-Technical | GPP01079 | ||
| Technical |
Enroll and Get Started with GPP01079
What do we mean by credit data? This post is a discussion around mathematical terminology and concepts that are useful in the context of working with credit data, taking us from network graph representations of credit systems to commonly used reference data sets
Digging into the meaning of credit data collections, the logic that binds them together towards understanding what they can be used for and what limitations and issues they may be affected by, this new course in the Credit Portfolio Management category explores a new angle to look at an old practice.
This crash course illustrates how to process loan-level US Agency mortgage data using awk, pandas and django. The first part of the course focuses on static (acquisition) type attributes. This part covers the following topics:
This crash course illustrates how to process loan-level US Agency mortgage data using awk, pandas and django. The second part of the course focuses on the performing book. This part covers the following topics:
We discuss the relation of economic input-output models with graph theory and networks
The objective of the course is to discuss the relation of economic input-output models with graph theory and networks.
This crash course is an introduction to the main elements of an Academy course (it is a course about courses!). The course takes less than an hour to complete. It is recommended to new users that are not familiar with eLearning environments.
You can also use the course to test whether your can get full access to the academy courses using your particular device / browser.
This short course is an introduction to the Open Risk Manual, covering the following topics:
| Introductory Level | Core Level | Advanced Level | |
| Non-Technical | GEN13054 | ||
| Technical |
Enroll and Get Started with GEN13054
Open Risk Crossword Puzzles: A collection of crossword puzzles build around specific themes
| Introductory Level | Core Level | Advanced Level | ||
| Non-Technical | QUI29052 | |||
| Technical |
Enroll and Get Started with QUI29052
This course is a CrashProgram (short course) introducing the different ways in which the graph concept enters various data science applications. The course is at an introductory technical level. It requires comfort with mathematical notation and (optionally) ability to run the provided python code with various graph examples. Reviewing the very diverse uses of graph structures will reveal the richness of graphs as data science tools.
With the ever more widespread adoption of Data Science tools (defined loosely as the intensive use of data in decision-making), there is strong interest in Visualization as an effective means for humans to understand information at various stages of the data lifecycle.
There is a large variety of open source data visualization tools which can produce an ever more bewildering variety of visualization types:
This course is a DeepDive into measuring name concentrations in credit portfolios.
This course is a CrashProgram in the use of python for risk modelling purposes, in particular credit concentration measurement.
There is little or no prior knowledge of concentration risk measurement but general background in credit risk management is useful for context.
This course is a CrashProgram (short course) introducing exploratory data analysis.
The course can be pursued on a standalone basis. It is advisable to pursue the course after DAT31046 (Risk Data Review) which discusses a review of the data from a data quality validation perspective.
This course collects resources and activities to facilitate those involved in open source risk modelling projects.
| Introductory Level | Core Level | Advanced Level | |
| Non-Technical | |||
| Technical | GEN13031 |
Enroll and Get Started with GEN13031