Date/Time: to, 09:00 to 16:00
Location: Online

In this two-day workshop participants will build on their introductory knowledge of the statistical programming environment R. The course is intended for people who have participated in the Graduate Academy Leipzig's class "Data Science with R: Introduction".

Dates and Registration
This workshop is offered several times:

  1. 10.11.2023 | 09:00 - 16:00
    11.11.2023 | 09:00 - 16:00   Register here 
  2. 22.02.2024 | 09:00 - 16:00
    23.02.2024 | 09:00 - 16:00   Register here 
  3. 19.04.2024 | 09:00 - 16:00
    20.04.2024 | 09:00 - 16:00   Register here   
  4. 07.06.2024 | 09:00 - 16:00
    08.06.2024 | 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 build on their first experience with the programming language R

Number of Participants
12

Course Description
This course builds on "Data Science with R: Introduction". In this course we will build on the participants’ prior knowledge of R, focusing on using R for exploratory data analysis and the production of more complex research visualisations. At the end of the course, participants will have reached an intermediate-level knowledge of R and obtained the skills to visualise their research data. 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.