Nový webinář Biostatistika v R – úvod do kurzu ZDARMA

Objevte nové možnosti využití statistiky v biomedicíně, klinickém výzkumu nebo veřejném zdraví. Investujte hodinu času a posuňte se ve své kariéře.

úterý 18. 11. 2025 od 15:00


⚠️ Poslední místa – Regresní analýza v TIBCO Statistica

Brno (Mendelova univerzita) – 6. 6. 2024


⚠️ Poslední místa – Analýza rozptylu v TIBCO Statistica

Brno (Mendelova univerzita) – 7. 6. 2024

Basic Statistical Analysis in R Programming Language

Courses: R programming language control + Introduction to Statistics I in R Language

Learn everything you need for processing and evaluating data using basic statistical methods in the R programming language – even if you’ve never worked with R before.


This discounted package combines:

Intensive 3-day courses is led by Mgr. Patrik Galeta, PhD., Assistant Professor at the Department of Anthropology, University of West Bohemia. Dr. Galeta applies statistical methods in his demographic studies (see lecturer profile).

Hands-on practice takes place in the English version of RStudio. No need to bring your own laptop – we’ll provide one for you on-site. After completing the courses, you’ll receive over ready-to-use scripts to analyze your own data.

Základní kurz statistiky I v programovacím jazyce R

Kodaňská 1441/46
Praha 10

Course venue address

3 days

Course duration

Zvýhodněné balíčky kurzů

Zakupte si balíček 2 nebo více vybraných kurzů a ušetřete

You'll benefit most from this course if you:

What prerequisite knowledge is required?

What will you learn in the course?

A/ R programming language control

RStudio Environment

Unified syntax of tidyverse library group functions

Efficient code writing using ‚pipeline‘

Loading data into R from MS Excel format (readxl library) and SAS, SPSS, Stata (haven library)

Working with data (dplyr library)

  • Selecting variables and cases
  • Renaming variables
    Modifying variables (individually and in bulk)
  • Joining multiple tables using a common variable
  • Working with data within groups

Modifying text variables (stringr library)

  • Find and replace string
  • Split and join strings
  • Clean strings

Working with factors (forcats library)

  • Setting factor level order according to various criteria
  • Adding and removing levels
  • Combining levels of multiple factors

Working with date format (lubridate library)

  • Converting date to date format
  • Extracting year, month, day
  • Date format in graphs

Descriptive statistics (rstatix library)

  • Frequency tables
  • Descriptive statistics

Creating graphs in ggplot2 library

  • General logic of graph creation in ggplot2
  • Basic graph types (bar chart, histogram, boxplot, scatter plot)
  • Modifying parameters of axes, labels, titles, colors
  • Plotting the same graphs within groups

Batch execution of the same analysis on different data (purrr library)

B/ Introduction to Statistics I in R Language

Introduction to the R language

Explanation of basic statistical concepts

Basic information about the R programming language

Basics of working with statistical data in the R programming language

  • Importing files in various formats
  • Data preparation for statistical analysis
  • Data processing using tables and graphs and their interpretation

Introduction to data analysis

  • Understanding statistical data analysis
  • Descriptive statistics
  • Types of variable distributions
  • Measures of central tendency and variability
  • Suitable data visualizations
  • Relationship between two variables
  • Normal distribution and verification of data normality

Data analysis in R language

Practical examples of commonly used statistical methods in R language

Statistical analysis:

  • Introduction to hypothesis testing
  • Contingency table analysis
  • Test of independence for two categorical variables
  • T-tests
    • One-sample t-test
    • Two-sample t-test
    • Paired t-test
    • Non-parametric tests
  • Analysis of variance
  • Basic non-parametric tests
  • Correlation analysis
  • Linear regression

Practical examples to practice statistical testing methods and analysis

  • Practical demonstrations in the R language.

Názory spokojených účastníků

What training materials will you receive?

How long does the course take?

Who will be conducting the training?

The training will be conducted by Mgr. Patrik Galeta, PhD., an assistant professor at the Department of Anthropology at the University of West Bohemia in Pilsen. He specializes in statistical methods within demographic studies and also teaches a data processing course at the University of West Bohemia. In addition to instructing hundreds of students in statistical methods, he has also trained hundreds of participants in our courses.

How much does the course cost, where does it take place, and what are the payment options?

The course takes place at our training center located at Kodaňská 1441/46, Praha 10.

Payment is made via bank transfer based on the issued invoice.

The package price is 17,440 CZK excluding VAT – compared to individual courses, you save 20% (4,660 CZK). In addition to providing tools and training materials, the price includes refreshments during the course and lunch.

Non-binding Course Registration

We will contact you within 3 business days to discuss the details.
By submitting the application, you agree to the general terms and conditions and processing of personal data.

Další názory spokojených účastníků

Anonymní zpětná vazba účastníků z dotazníku spokojenosti po kurzu. 

Navazující kurzy

Kurz statistiky II v programovacím jazyce R

2 dny
10.-11. listopadu 2025
Praha
12 900 Kč bez DPH

Zvýhodněné balíčky kurzů

Zakupte si balíček 2 nebo více vybraných kurzů a ušetřete

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