Innovation of University Subjects in Data Science Area within IT Academy Project

• Authors: ANTONI L.; BRUOTH E.; GUNIS J.; GURSKY P.; KRAJCI S.; KRIDLO O.; NAVRÁTIL Radim; SNAJDER L.; ANDREJKOVA G.; SVEDA D.
• Year of publication: 2018
• Type: Article in Proceedings
• Conference: 2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA)
• MU Faculty or unit: Faculty of Science
• Web: https://ieeexplore.ieee.org/document/8572036
• Doi: http://dx.doi.org/10.1109/ICETA.2018.8572036
• Keywords: Data mining; Data models; Data science; Training; Programming; Mathematics
• Description: Data analysis solutions are already being used in many areas of technical, natural, humanitarian and economic sciences. Moreover, data analysis experts are already a scarce, and students with knowledge of Data Science have the potential to be highly desirable in the labor market. We present the data classification tasks and provide basic methods for measuring precision of classification. In conclusion, we bring a review of Data Science subjects that are introduced and innovated at universities within the IT Academy Project.