data processing, data analysis, data science, R, Big Data
Abstract:
Introduction to data processing and analysis tools. Practical part of the training - introduction to the working environment, applied examples of data processing from practice, advanced methods of presentation of the results. Seminar papers on open data. Consultation hours for seminar papers. Seminar paper submission and presentation.
Objectives:
The aim of the course is primarily to familiarize students with the tools for data processing and analysis, to test the most common options used in data processing, including advanced options for presenting the results of analyses. Students will then independently perform data analysis on data from existing open systems.
Calendars at the Faculty of Transportation Sciences, CTU in Prague