Python for Data Science - NMFP451
Title: Python pro Data Science
Form of teaching: practicals
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2025 to 2025
Duration in semesters: 1
Semester: winter
E-Credits: 1
Hours per week, examination: winter s.:0/1, C [HT]
Capacity: unlimited
Maximum number of enrolled students: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: full-time
Repeated enrollment: 2 / 2 / 2 / 2
Guarantor: Mgr. Ondřej Týbl, Ph.D.
Teacher(s): Mgr. Filip Bočinec
Mgr. Ondřej Týbl, Ph.D.
Class: M Mgr. FPM > Volitelné
M Mgr. PMSE > Volitelné
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Annotation -
Expanding programming in Python with a focus on tools and libraries used in data science and machine learning. Emphasis is placed on practical tasks assigned in the form of homework.
Last update: Zichová Jitka, RNDr., Dr. (09.05.2025)
Aim of the course -

Knowledge and skills needed for programming in data science and machine learning tasks.

Last update: Zichová Jitka, RNDr., Dr. (09.05.2025)
Course completion requirements -

Solution of practical problems (homework).

Last update: Týbl Ondřej, Mgr., Ph.D. (10.08.2026)
Literature - Czech

literatura:

  • McKinney, W., 2012. Python for data analysis: Data wrangling with Pandas, NumPy, and IPython. " O'Reilly Media, Inc.".
  • VanderPlas, J., 2016. Python data science handbook: Essential tools for working with data. " O'Reilly Media, Inc.”.
  • Park, A., 2021. Python for Data Analysis: How to Use Python and Data Science to Better Understand, Summarize, and Investigate Your Data. Andrew Park.

Last update: Zichová Jitka, RNDr., Dr. (09.05.2025)
Teaching methods -

Seminar.

Last update: Zichová Jitka, RNDr., Dr. (07.05.2025)
Syllabus -

Python libraries

Last update: Zichová Jitka, RNDr., Dr. (07.05.2025)
Course registration requirements -

Basics of programming in Python.

Last update: Zichová Jitka, RNDr., Dr. (07.05.2025)
Registration requirements

Kurz má omezenou kapacitu a je určen přednostně pro studenty programů Finanční a pojistná matematika a

Pravděpodobnost, matematická statistika a ekonometrie.

Last update: Omelka Marek, doc. Ing., Ph.D. (18.10.2025)