Generation Data Classroom Course

What is Generation Data?

Generation Data is an Erasmus project which focuses on the development of smart data skills and an understanding of its close relationship to innovation and competitiveness. It consists of a set of open educational resources created for teachers and lecturers, published online and free to download and use.

Objective of the Course

The Generation Data Curriculum and corresponding Course Materials are intended to enable facilitators (lecturers, trainers and teachers) to deliver classroom and small group training to business/management students and start-up entrepreneurs on the topic of smart data. Although a proportion of teachers and lecturers state they have some understanding of smart data, a large majority recognise that they lack pedagogic strategies to teach the topic confidently. The goal of Generation Data is therefore to overcome an informational challenge by presenting up-to-date content that is relevant to the use of smart data for business, but also to improve the quality of teaching of the topic so that students and entrepreneurs acquire the knowledge and skills they need to successfully implement data driven business models.

Overall Learning Objectives

Smart data is powerful because of its transversal use across the public, private and non-profit sectors; the curriculum and course materials reflect this potential. However, given the focus is on the teaching of smart data to business and management students and start up entrepreneurs, the lens has been narrowed to focus on smart data in business, especially small and medium businesses, and the strategic role of data in creating sustainable, profitable business models.
The overall objective of the GENERATION DATA project is to empower students and entrepreneurs to be data competent and active, that is optimizing the use of smart data across a business, even if they have no prior experience of data science or technology.
Specifically, participants will acquire the following knowledge and skills:

  • Comprehend the emerging role of big data and how it can be turned into smart data.
  • Craft and coordinate integrated data capture and analysis activities.
  • Carry out data interpretation to gain actionable insights into business performance and market opportunities.
  • Determine appropriate technological tools for data solutions based on cost-benefit analysis.
  • Understand the key regulatory and ethical aspects of data privacy and handling.