Course: Data Analysis Tools and Their Programming

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Course title Data Analysis Tools and Their Programming
Course code USII/CADP
Organizational form of instruction Lecture
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Petr Pavel, doc. Ing. Ph.D.
  • Kašparová Miloslava, Ing. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Work with text (with textbook, with book), Methods of individual activities
  • Preparation for a credit (assessment) - 10 hours per semester
  • Individual project - 30 hours per semester
  • Home preparation for classes - 66 hours per semester
  • Contact teaching - 14 hours per semester
  • Preparation for an exam - 30 hours per semester
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
Oral examination, Written examination, Work-related product analysis, Self project defence

Recommended literature
  • Clifton, Brian. Google analytics : podrobný průvodce webovými statistikami. Brno: Computer Press, 2009. ISBN 978-80-251-2231-0.
  • Peterson, E. T. Web analytics demystified: A Marketer´s Guide to Understanding How Your Web Site Affects Your Business. 2004.
  • Wickham, H., Grolemund, G. R for Data Science - Import, Tidy, Transform, Visualize, and Model Data. 2016.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester