AGES Online-Course R for Data Science – Basic

Data accumulates in all areas of business and science and there is a need to obtain a structured overview of the information received.

The freely accessible (open source) programming language R has increasingly developed into a standard language for statistical questions of all kinds in recent years and offers a rich pool of evaluation tools.

In this course, the use of the R programme in combination with the RStudio user interface for carrying out simple statistical evaluations is shown in detail. Unlike a menu-based programme such as SPSS, R requires programming knowledge to use. Participants are introduced to the concept of programming step by step and learn how to prepare data and create simple analyses and graphics. The focus is on teaching programming basics and the practical application of R with regard to statistical questions.

Various exercises help participants to consolidate the course content they have learned and to immediately apply their newly acquired knowledge to practical examples.

Training content

• R Introduction
  • Introduction to programming
  • Introduction to RStudio
  • First programming steps

• Data preparation in R
  • Data import
  • Data types
  • Simple data manipulations

• Descriptive statistics in R
  • Creating tables
  • Summarising numeric and categorical data

• Graph creation in base R (scatterplot, boxplot, histogram, ...)

• Inferential statistic
  • Distributions
  • Drawing random samples
  • Confidence intervals
  • T-test, chi-square test
  • Linear model

Target group

This course is aimed at all interested persons from all disciplines who would like to carry out basic statistical analyses on their own. Basic knowledge of statistics (descriptive statistics, statistical tests) is assumed, previous programming knowledge, however, is not necessary. The course is explicitly also aimed at programming beginners.

Responsible for program and tutor

Mag.^a Antonia Griesbacher
Senior Expert
Department of Statistics and Analytical Epidemiology
Integrative Risk Assessment, Data and Statistics

Registration information

Please note that this course will be held in English.

A laptop is required for the course. Please make sure that the latest versions of R and R Studio are installed on the laptop and that you have sufficient administration rights to install R packages.

Please register at least 14 days before the course starts.