Introduction to R programming (EN)

e-kurz

Kurzem Vás provede Jiří Novák

Jiří is dedicated to data analysis, statistics and machine learning in the programming languages R and Python. He has experience with academic…

Základní info

Description

Learn about the key functions of the R language and the principles of its use for effective data analysis.

The R programming language, together with its integrated development environment RStudio, constitutes a leading open-source platform for data analysis and processing.
This course provides participants with a comprehensive introduction to the R language, including fundamental commands, manipulation of diverse data structures, the development of user-defined functions, data visualization techniques, and the foundations of reproducible reporting. A strong emphasis is placed on practical application, with exercises based on real-world datasets. The curriculum also incorporates contemporary tools such as the ggplot2 package for advanced graphical representation and the broader tidyverse ecosystem for efficient data handling and analysis.

Target

The course is ideal for anyone seeking to begin programming and looking for a versatile tool for data analysis, statistics, and visualization.

Day 1: Fundamentals of Working in R

Data types and structures
Core data structures: lists and data frames
Introduction to programming in R

Day 2: Practical Applications of R

Review and hands-on exercises
Functions in R
Basic graphical visualizations in R
Advanced visualizations using ggplot2

Day 3: Advanced Techniques and Applications

Text processing in R
The tidyverse ecosystem
Creating documents with RMarkdown
Final project

Prerequisites

The course is designed to be accessible to individuals with no prior programming experience, while simultaneously providing practical skills applicable across various domains of data analysis.

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