Courses and workshops
SCDataLab organizes data science courses and workshops for researchers at the Faculty of Humanities, the Faculty of Law and the Faculty of Theology.
Scheduled events and workshops
1 Dec. at 09:00-12:30: Chat with your data workshop (more info and register)
We offer the following courses and workshops:
In this workshop, you get a practical introduction to the use of social network tools for text analysis purposes with a primary focus on network visualization in Gephi, which is open-source software that is dedicated to network visualization. Starting from real-world datasets, we will introduce basic social network analysis concepts and learn how to visualize different social dynamics using Gephi.
The course is available in two versions: A short 3-hour intro and a 12-hour version that introduces both fundamental concepts and tools. In both versions, we focus on tools that can be used in teaching and in the long version we include the option to work on your own data during the course. We offer individual support to prepare your own use case of a method or tool in your teaching or research. In the long version, we include presentations by researchers. There will be introductions to different digital methods and tools and hands-on exercises. The individual support will be planned individually.
SCDataLab offers a PhD course that covers basic concepts of inferential statistics. The focus will be on both conceptual and practical issues with short presentations and hands-on exercises. Inferential statistics is about generalising from a sample to a population and we will talk about avoiding common mistakes when making inferences from data. The course will also introduce you to the R programming language for exploring and analysing data. During the hands-on exercises, you will have a chance to experiment with R and apply what you learned throughout the course. The instructor, data specialist Selda Eren Kanat, has a PhD in Cognitive Science and taught statistics at Ohio University. The course does not assume any prior knowledge about mathematics or statistics.
Do you have data from your research waiting to be analysed? In this workshop you will learn how to clean, analyse and visualise data in the R environment. R is a popular and influential programming language with a rich collection of free statistical packages. During the hands-on exercises, you will have a chance to work with R libraries to analyse various data types. We will go over scripts one by one together. Prior statistical or programming knowledge is not required.
In this workshop we will cover the basics of quantitative research design, starting with how to define a research problem and develop a hypothesis. Then we will talk about defining the population and how to draw a subset of the population from which data are collected. We will talk about data types and how each data type requires a different type of statistical method. Inferential statistics is about generalising from a sample to a population, and we will talk about avoiding common mistakes when making inferences from data. The focus will be on both conceptual and practical issues with short presentations and hands-on exercises.
Please send an email to email@example.com if you would like us to offer a workshop from the list below:
- Basic Digital text analysis with Voyant
- Text recognition with Transkribus
- Introduction to Programming in Python
- Visualising Geolocation data
- Data cleaning and structuring
- Database Design and Implementation
- Advanced Web scraping
- Introduction to Machine Learning
- Introduction to ChatGPT