This is the collection of Open Risk Academy Data Engineering courses. Data Engineering is a discipline that focuses on building of Information Technology systems that enable the collection and usage of Data. This data is used to enable subsequent Data Analysis and Data Science

This category includes courses that cover more technical techniques (programming stacks, data formats etc.) that are applicable across a range of data science and risk management disciplines.

Programming techniques that might be more specialized to specific areas of risk management and (financial) risk modelling are covered in other course categories.

Access these Courses at the Open Risk Academy

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Courses in Data Engineering

• Working with Large Matrices using Command Line Tools
• An Introduction to the Copernicus Satellite Data Ecosystem
• Deep Dive Course on Tensor calculations with Eigen
• An introduction to Semantic Data with Python
• Intro to GeoJSON
• Loan Level Templates Using Python
• Managing Loan Portfolios Using MongoDB
• Class Inheritance in Data Science
• Introduction to the EBA NPL Templates