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Vyučující
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Škvára Jiří, RNDr. Ph.D.
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Škvor Jiří, RNDr. Ph.D.
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Rodriguez Jorge Ricardo, Ph.D.
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Obsah předmětu
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1. Deepening the basics of syntax and basic constructions of Python and R languages 2. Basics of data manipulation and visualization 3. Intermediate data and data file manipulation (import, cleaning, etc.) 4. Intermediate data visualization 5. - 6. Exploratory analysis, selected advanced statistical methods (correlation, regression, factor, cluster analysis, etc.), inference statistics 7. - 8. Introduction to machine learning (selected classificators, regression and clusterring algorithms) 9. Introduction to natural language processing, sentiment analysis 10. Network analysis 11. - 12. Reports, dashboards and interactive data visualization 13. Summary, discussion on the assignment of seminar works
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Studijní aktivity a metody výuky
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nespecifikováno
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Výstupy z učení
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In the course, students will practically develop basic skills in programming languages Python and R in key areas for data engineers and scientists. Students will learn various methods and techniques of data processing, analysis and visualization purely practically on model solutions, i.e. at the application and interpretation level, without the need for deeper knowledge of the principles of these methods and techniques, which should be acquired in previous or next study. A significant part of the teaching is the work of students in groups on solving case studies ("inspired by data") of a smaller scale, their presentation and mutual critical evaluation. Kaggle.com platforms are the source of data and inspiration. The materials of teaching platforms such as datacamp.com will be used in teaching, which are otherwise recommended especially for self-study and obtaining certificates.
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Předpoklady
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Basics of programming in Python and R, basic knowledge of soft computing
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Hodnoticí metody a kritéria
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nespecifikováno
preparation and oral defense of a seminar work aimed at data processing, exploratory analysis and machine learning, verification of general factual knowledge
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Doporučená literatura
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