Fundamentals of Data Analysis

Course guarantor:

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)