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Big Data Basic Learning Path - Making value out of data: data analytics

With the world becoming increasingly digital, data is turning into an incredible high-value asset; nowadays, it is called “the fuel of the digital economy” or “the most valuable asset of an organization”. But what exactly is data? Are there different kinds of data? Where does it come from?  What is big data?  How can you extract value out of data? What tools and methods can be used to analyze data? What is the Data, Information, Knowledge, Wisdom pyramid? What are the opportunities and challenges of data analytics? As you can see, the topics is very broad, touching many aspects of computer science, like AI, networks, computing platform, software… This learning path will take you through different resources that will introduce you to those different subjects and provide answers to these questions (and probably raise many others). It also includes some practical resources to that you can get a grasp of how concretely this all can work. 

Introductory learning materials

From data to knowledge

Advances in hardware and software have helped information science develop significantly in the last couple of years. Machine and deep learning have made knowledge extraction and data analysis much more efficient – helping us to solve problems and...

Python Basics for Data Science MOOC

This beginner-friendly MOOC, IBM: Python Basics for Data Science, designed by IBM will quickly take participants from zero to programming in Python in just a few hours. By completing this course participants will be able to to write their own Python
Advanced learning materials

EUHubs4Data Training Catalogue

The aim of the EUHubs4Data project is to stimulate greater participation of European SMEs and start-ups in the data economy. The project partners recently released a catalouge of training courses to support the interested parties in aquiring the skills to be able to dive into a data-driven innovation ecosystem and make the most out of it. The catalogue gathers courses that have been developed by the partners´ organizations and extended network.

Learning path Details

Digital skill level
Digital technology / specialisation