Fundamentals of Data Analysis

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Biomedical Technology

Synopsis:

Requirements:

Mandatory attendance at seminars, a maximum of two absences during the semester are allowed. The course is completed with a graded credit. The evaluation will be based on the final test. In total, the student has the opportunity to obtain 100 points, a minimum of 50 points is required to complete the course. Evaluation according to the ECTS scale.

Syllabus of lectures:

Syllabus of tutorials:

• Introductory exercise, tools for data analysis, essence of the process

• Introducing the R language

• Basics of work in R – commands, packages

• Data types, data structures, operations

• Data manipulation, conversion between formats

• Loading and exporting data of various types and formats

• Data processing, conditions, cycles, packages dplyr

• Basic statistics

• Basics of data visualization

• Final exam

Study Objective:

Study materials:

[1]JAMES, G., WITTEN, D., HASTIE, T., TIBSHIRANI, R. An INtroduction to Statistical Learning; Springer, 2nd edition, 2021. 605 s. ISBN 978-1-0716-1418-1.

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Systematic Integration of Prosesses of Healthcare (compulsory elective course)