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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2024/2025

Data Processing

The course is not on the list Without time-table
Code Completion Credits Range Language
614ZDA Z 3 0P+2C Czech
Garant předmětu:
Lecturer:
Tutor:
Supervisor:
Department Děčín
Synopsis:

Introduction to advanced non-relational database systems. Characteristics of different types of data. Data processing tools used. Practical part of the training - familiarization with the working environment, applied examples of data processing from practice, advanced methods of presenting outputs. Students' own work on open data. Consultation sessions for term papers. Seminar paper submission and presentation.

Requirements:

Ability to think logically, knowledge of the basics of algorithmization and the fundamentals of any programming language at a level equivalent to a third year of study at a technical university.

Syllabus of lectures:
Syllabus of tutorials:
Study Objective:

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.

Study materials:

Presentation of the course created by the guarantor.

Holubová Irena, Kosek Jiří, Minačík Karel and Novák David. BigData and NoSQL databases. Prague: Grada Publishing, 2015, 288s, ISBN 978-80-247-5466-6.

Benjamin S. Horton, Nicholas J. Kaplan, Daniel T. Baumer. Modern Data Science with R. Raylor & Francis, 2017, 556s, ISBN 9781498724487

Internet

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2024-04-11
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