Name: Workshop - Introduction to R
Start: 2025-10-29T18:00:00+01:00
End: 2025-10-29T19:30:00+01:00
Location: TU Wien Freihaus

After a summer break, we are kickstarting our events again with an introductory workshop on the **R** programming language. No previous knowledge of **R** is required, and we welcome all genders and identities to attend our events at R-Ladies Vienna.

**ℹ️ Abstract**
**R** is a powerful programming language and environment widely used across fields from statistics and economics to psychology, biology, and more. It also provides a versatile analytical toolkit for business analysts and professionals working with data.

The goal of this workshop is for our attendees to become acquainted with R to start their data analytics journey. Within this 1.5-hour workshop, we will cover:

* R as a calculator
* Basic data types and structures
* Reading data into R and exporting for external purposes
* Basic data processing
* Basic data visualization
* Loops, functions, and conditional statements

**💡 What to prepare**

* Before the workshop, install **R** and **RStudio** on your laptop by following the 2-step guide at [https://posit.co/download/rstudio-desktop/](https://posit.co/download/rstudio-desktop/)
* On the workshop day, **bring your own laptop** to follow the workshop material closely and code along with us!

**⏱️ Duration**
The workshop will last approximately 1.5 hours. Doors open at 17:45.

**🗺️ Location**
Seminar Room DA green 03A / Sem.R. DA grün 03 A
(DA03A15)
3rd floor, green area
TU Wien Freihaus ([map](https://maps.app.goo.gl/N8PSCZfdi97KirFY6))
Wiedner Hauptstraße 8-10, 1040 Vienna

**📍 How to find us**
In the green area of TU Wien Freihaus, take the lift to the 3rd floor. After exiting the lift, you will see the seminar room on your right.
Use this [floor plan](https://maps.tuwien.ac.at/?q=DA04E10) to help locate the room.

Laura Vana

Ursula Laa

R-Ladies Vienna

R-Ladies

Technology

Artificial Intelligence

Big Data

Natural Language Processing

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Mining

Programming in R

Data Science

Deep Learning

Diversity & Inclusion

Gender Diversity

Patricia is a Postdoc researcher and lecturer in computational statistics at TU Wien. Throughout her studies in TU Wien, she has specialized in robust statistical methods for outlier detection. Prior to her doctoral work, she also worked as a data scientist at the Ludwig Boltzmann Institute for Lung Health, where she applied medical statistics.

Patricia Puchhammer

Workshop - Introduction to R

TU Wien Freihaus

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R-Ladies Vienna

Workshop - Introduction to R

R-Ladies Vienna

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