Students are introduced to many possibilities offered by big data analytics. They are able to identify
\nthose that can be applied, developed and improved in a real environment, either by programming
\nspecific solutions, using algorithm libraries or combining different tools. Knowing how to obtain big
\ndata for analytics, how to extract, transform and store them in various forms, how to perform advanced
\nstatistical analyses and analyses in the domain of artificial intelligence, students are able to
\nconceptualise and conduct both ad hoc analytical research on big data and projects for the development
\nof analytical applications.<\/p>\n
Through examples, students encounter the following concepts: data sampling, crawling, scraping,
\napplication of statistics and machine learning in big data analytics, incomplete data, dirty data, outliers,
\ncausality, correct and incorrect interpretation of results, ranking issues, weighting parameters, large text
\nanalytics, analysis of social network graphs, classification of profiles on social networks, the
\nrecommendation of content, and prediction of dropouts. Students are instructed how to cope with the
\nmultitude of technological, methodological and domain alternatives to big data analytics.<\/p>\n
Practical classes follow the content of the lectures and apply it in the open platforms Knime, Gephi and
\nHadoop, as well as the programming languages Python and R. Students are trained to, using the tools
\nand techniques they are familiar with, independently perform advanced analytical big data processing.<\/p>\n","protected":false},"excerpt":{"rendered":"
Objectives and outcomes Students are introduced to many possibilities offered by big data analytics. They are able to identify those that can be applied, developed and improved in a real environment, either by programming specific … Read more<\/a><\/p>\n Read more<\/a>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[199],"tags":[],"class_list":["post-14058","post","type-post","status-publish","format-standard","hentry","category-subjects"],"acf":[],"yoast_head":"\n