Data Science
This category covers the collection of Open Risk Academy Data Science courses. Data Science is an emerging interdisciplinary field that aims to extract and utilize knowledge from diverse data sets, which are typically large.
The field is rather loosely defined as it applies to several different domains with a varying degree on reliance on:
- Computer Science and Data Engineering as the fundamental enabler
- Mathematics and more specifically Statistics as the conceptual framework
- A wide range of algorithms, including Machine Learning as the principal quantitative tools
- Information Visualization and Graphic Design as additional user oriented outputs
- the analysis and integration with Business Processes and objectives
In the context of Risk Management, the concepts, objectives and practices of data science overlap strongly with those of Quantitative Risk Management.
This category includes courses that cover general data science techniques applicable across a range of risk management disciplines.
Techniques that might be more specialized to specific areas of risk management and (financial) risk modelling are covered in other course categories.