Samenvatting

Learn hands on how to solve logistics use cases by means of a data science infrastructure stack.
Building a data-driven infrastructure is crucial for leveraging the full potential of data. In this context, infrastructure refers to the full spectrum of software and technologies (and their interrelationships) required to accomplish optimal advantage of data in relation to the company objectives. This course takes you through the various core components of a data-driven infrastructure, guided by the CRISP-DM model. After completion of the chapter, you have a basic understanding of what kind of infrastructure stack is needed to develop and deliver data-driven solutions for the logistics Industry.