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
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
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
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.
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
A forum for risk management questions and answers. Nothing is too complicated or too simple!
| Introductory Level | Core Level | Advanced Level | |
| Non-Technical | RMQ29035 | ||
| Technical |
Enroll and Get Started with RMQ29035
This course is a Crash Program introduction to the topic of credit risk concentrations: how to identify, measure and manage excess credit exposure, an essential risk management discipline for any credit portfolio.
The course covers the following topics:
If this is your first time in the Academy you can familiarize yourself by going through the Demo which includes manuals, study plan suggestions and more.
The course is completely introductory and does not have any prerequisite except a clear and open mind!
In the Shortest Possible Course on Risk Management we try to condense in 15 intense minutes the essence of risk management!
The course is completely introductory and does not have any prerequisite except a clear and open mind!
A crossword puzzle around money topics to celebrate Global Money Week
| Introductory Level | Core Level | Advanced Level | |
| Non-Technical | GEN13061 | ||
| Technical |
Enroll and Get Started with GEN13061
This course is a CrashProgram (short course) introducing the GeoJSON specification for the encoding of geospatial features.
The course is live at the Open Risk Academy, this repository hosts the python scripts used in the course. The scripts can be used standalone but documentation is minimal.
A visually pleasing logical decomposition of different risk types using the analogy of the periodic table. The app offers an interactive exploration of the risk profile of different business models
| Introductory Level | Core Level | Advanced Level | |
| Non-Technical | PTR29042 | ||
| Technical |
Enroll and Get Started with PTR29042
This course is a CrashProgram (short course) introducing the concept of a structured review of risk data.
Step by step we build the knowledge required to review the suitability of data for a given purpose and how to report the findings.
The Open Risk Academy course NPL270672 is a CrashCourse introducing the EBA NPL Templates.
We start with the motivation for the templates and the domain of credit data (to which NPL data belongs). We discuss three core classes that capture the essence of lending operations from a lenders point of view (Counterparty, Loan, Collateral). Next we explore classes that capture events in the lending relationship lifecycle (which we term NPL Scenarios). We look into the main data types: elementary data types, choice lists, arrays and unstructured text. We close with discussing some more complex issues involving graph and timeseries data.