Subscribe the training course to become a Data Scientist
We will contact you to proceed with the selection interview and...GOOD LUCK!
Relevant Big Data and Analytics initiatives, training opportunities and Da.Re. project updates.
September 25, 2017
September 1, 2017
July 28, 2017
July 24, 2017
July 24, 2017
June 23, 2017
June 16, 2017
May 23, 2017
April 19, 2017
What Partners Say
What is the vision of each partner and his role in the Da.Re. project.
University of Primorska, Assistant Professor
" The Da.Re. project will produce an "industry-targeted" MOOC (Massive Open Online Course) whose main purpose will be to educate people to become acquainted with the theory and application of data science tools, to make sense, analyse and draw conclusions from big data, relevant to the problem at hand. The main focus is to build things in a bottom-up fashion starting from the problems that today's companies have, using those to define the competences needed to solve them and the contents of the MOOC. "
Loccioni, Innovation Funding Manager
" The term Data Scientist refers to an infinite and constantly developing world. Da.Re. project wants to focus on the training of a professional with more managerial skills than a Data Scientist, able to organize the specific needs of a company in the construction of data management objectives, that can be different every time. "
Confindustria Ancona, President
“ We are eager to take part to Da.Re. project because it is about a core issue for our Association, the “jobs of the future” linked with the national and EU policies on Industry 4.0. In my opinion, it is of utmost importance to keep in mind the role of companies in orienting training paths, thus strengthening the connections between industry and education. ”
“ Recent technological advances in sensors, IoT, artificial intelligence, big-data, cloud computing, business models as-a-service and platform business models are revolutionizing the industry of tomorrow. As with every revolution, new skills and knowledge are shaping and will have to be adopted by the industry; this being the case also with data science. It is our deep belief that only the cooperation between academic and research institutions and the industry can solidify the EU as a leading player in the global economy of tomorrow. ”
Maisis, CTO and Managing Partner
“ When big data is effectively and efficiently captured, processed and analysed, companies can gain a more complete understanding of their business, customers, products, competitors, etc., which can lead to efficiency improvements, increased sales, lower costs, better customer service and improved products and services. As a software factory, find the right people who understand for one side the business and for the other have the knowledge to build Big Data solutions is one of our biggest challenges nowadays. We truly believe that projects like Da.Re will help us in finding more answers to these challenges. ”
eConsulenza, Project Manager
“ Da.Re. project aims to support the development, transfer and implementation of innovative practices and joint initiatives promoting cooperation, peer learning and exchanges of experience at European level. I believe that this project can be an important pilot initiative to strengthen the knowledge triangle of research, education and business in the field of data science. The Consortium composition and the close contacts among HEIs and Big Data related enterprises will assure to achieve high quality skills: a fundamental supporting to individuals in acquiring and developing key competences in order to foster employability and professional development in Data Science market. ”
Instituto Politécnico de Bragança, Professor
“ Along with the digital transformation of products, manufacturing and logistic systems, comes an increasing of the amount of data generated in such processes. This requires proper skills on how to collect, store and analyze the data to extract valuable knowledge that will support the development of more efficient, traceable, adaptive and responsive systems. In such context, advanced data analytics assumes a crucial role, imposing new challenging issues for vocational and academic training and continuing professional development. ”