Data Science with R: Introduction
In this two-day workshop participants will learn to master the fundamentals of the statistical programming environment R.
Dates and Registration
This workshop is offered several times:
- 27.10.2023 | 09:00 - 16:00
28.10.2023 | 09:00 - 16:00 Register here - 08.02.2024 | 09:00 - 16:00
09.02.2024 | 09:00 - 16:00 Register here - 05.04.2024 | 09:00 - 16:00
06.04.2024 | 09:00 - 16:00 Register here - 24.05.2024 | 09:00 - 16:00
25.05.2024 | 09:00 - 16:00 Register here
You can register for the event one month before the event starts from 9am. With your registration you agree to our terms and conditions.
Location
Online
Lecturer
Dr. Thomas Köntges
Target Group
Doctoral researchers and postdocs who wish to begin with the programming language R.
Number of Participants
12
Course Description
In this course participants will learn the basics of the R programming language, with a particular focus on using R for handling, visualising and analysing research data. This course will also highlight strategies for developing an efficient workflow centred around R and making use of RStudio as a helpful graphical user interface. After the completion of this course, each participant should be able to import data with R, navigate and manipulate data tables and represent data graphically. Additionally, participants will learn to organise their projects in a way that facilitates reproducibility. This course does not intend to cover in-depth statistical theory. If you are unsure whether this course is at the right level for you, there is a self-evaluation test available at the website of You Say Data.
Notes for workshop participants: R (>4.3) and RStudio will need to be installed prior to the course; a second screen has been recommend by past participants
ECTS-Points
1 Credit Point can be obtained by attending this course. Please contact your faculty for the recognition of performance for the doctoral degree.
- Dr Thomas Köntges
Dr Thomas Koentges is the founder of You Say Data, a New Zealand-based digital upskilling and data analysis company. He has lectured in Computer Science, Digital Humanities, and Data Science at Leipzig University and currently holds an honorary position as Fellow for Historical Language Processing and Data Analysis at Harvard University’s Center for Hellenic Studies. Dr Koentges is also a certified RStudio Education partner.