Unlocking new insights from complex, vast, diverse, and massive quantities of data to accelerate digital transformation, innovation, and social sustainability is the primary objective of Big Data Analytics. It uses a palette of advanced techniques and approaches from emerging fields such as Data Mining, Machine Learning and Deep Learning for extracting valuable information. Various tools support and optimize knowledge discovery engineering.<\/p>\n
In such a context, the short-term training aims to broaden the students\u2019 interest in data-driven projects as a novel paradigm in Industry 4.0 and Society 5.0, by answering a series of questions:
\n\uf0a7 What acts in the Big Data value-chain paradigm?
\n\uf0a7 What are the key technologies behind Big Data Analytics (BDA)?
\n\uf0a7 What tools and software enable meaningful insight from big data?
\n\uf0a7 What tools and software can be used for BDA with no or minimal coding skills?<\/p>\n
Besides these questions, the training provides practical guides to particular tools that support and automate end-to-end data analytics, from data collection, cleansing, and transformation through model building, evaluation, and tuning, to visualization and communication of results.<\/p>\n
The training is competences oriented utilizing learning-by-doing and case-based methods. The course is offered to computer science students from University of Nis (Serbia), University of Library Studies and Information Technologies (Bulgaria) and University of Bielsko-Biala (Poland).<\/p>\n