Professional training – Statistics and Statistical Software

R Fundamentals

R Fundamentals in 6 focused hours: Vectors, lists, data frames, Importing data and Functions and packages – practical, with exercises and templates for your daily work.

Duration
6 hours, one session
Level
Beginner
Format
Online or on-site
Language
German or English
Certificate
Certificate of attendance

Overview

“R Fundamentals” is a compact live course in the field of Statistics and Statistical Software. It centres on Vectors, lists, data frames, Importing data and Functions and packages – explained with realistic examples and deepened in exercises you can transfer straight to your daily work.

Reliable decisions need sound data analysis. Our statistics courses combine methodological knowledge with confident use of SPSS, R, SAS, Stata, JASP, jamovi and Minitab. You learn to prepare data, choose suitable methods, check assumptions and interpret and report results correctly. R Fundamentals is a one-day workshop with short methodological input and plenty of exercises on sample datasets. On request we work with data from your research or operations. You receive exercise files, syntax templates and a checklist for daily use.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Focus areas of the course

Vectors, lists, data framesImporting dataFunctions and packagesIndexing and filteringBasic graphicsTroubleshooting and help

Who is this course for?

  • Researchers, doctoral candidates and students
  • Market researchers and survey analysts
  • Controllers, quality managers and analysts
  • Staff in healthcare and public administration

What you will be able to do

  • You know the key topics of R Fundamentals – Vectors, lists, data frames, Importing data, Functions and packages, Indexing and filtering, Basic graphics and Troubleshooting and help – and can apply them in practice.
  • You carry out analyses with R Fundamentals independently and correctly.
  • You choose the right statistical method for your research question.
  • You check assumptions and interpret results properly.
  • You present results clearly for reports, publications or decision-makers.

Course outline

Module 1 Getting started and data basis for R Fundamentals
  • Where R Fundamentals fits in the analysis process
  • User interface and working environment
  • Importing, checking and cleaning data
  • Variable types and levels of measurement
Module 2 Focus areas: R Fundamentals
  • Vectors, lists, data frames
  • Importing data
  • Functions and packages
  • Indexing and filtering
  • Basic graphics
  • Troubleshooting and help
Module 3 Methods and functions in R Fundamentals
  • Key procedures and their assumptions
  • Step-by-step execution in the software
  • Checking assumptions and model fit
  • Typical mistakes in method choice and interpretation
Module 4 Hands-on exercises for R Fundamentals
  • Guided analyses on sample datasets
  • Working on your own research questions
  • Interpreting and phrasing results
  • Group discussion of pitfalls
Module 5 Presenting and reusing results
  • Preparing report-ready tables and charts
  • Export to Word, Excel and PowerPoint
  • Reproducibility through syntax or scripts
  • Next steps and further learning
Module 6 Transfer to your daily work
  • Exercise based on a realistic case
  • Typical mistakes and how to avoid them
  • Checklist and templates to take away
  • Open questions, outlook and resources for further learning

Prerequisites

Depending on the level, confident PC skills or basic statistics are enough. Advanced courses assume the respective fundamentals. No prior knowledge is required.

Technical requirements

Your own laptop with internet access; software, trial license or access to the training environment is provided in advance.

Dates & locations

For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.

  • Munich Thu, 10 December 2026 6 hrs Request
  • Salzburg Fri, 11 December 2026 6 hrs Request
  • Berlin Fri, 11 December 2026 6 hrs Request
  • Augsburg Mon, 14 December 2026 6 hrs Request
  • Hanover Tue, 15 December 2026 6 hrs Request
  • Bremen Wed, 16 December 2026 6 hrs Request
  • Stuttgart Mon, 14 December 2026 6 hrs Request
  • Kaiserslautern Mon, 14 December 2026 6 hrs Request
  • Online Thu, 10 December 2026 6 hrs Request

Frequently asked questions

Do I need prior knowledge of statistics for R Fundamentals?

That depends on the course level. Beginner courses explain the required fundamentals. Advanced courses assume methodological knowledge or software skills. Tell us your level and we will recommend the right starting point and adjust pace and examples to your group.

Can we analyze our own data in R Fundamentals?

Yes, if you wish. For in-house sessions we gladly work with your anonymized data and questions. Please provide data in advance and observe data protection rules. Alternatively we use realistic sample datasets that cover all exercises.

How much does “R Fundamentals” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run the course exclusively for your team.

Can the course be tailored to our team?

Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.

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