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.

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.

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.