The Data Science Summer School is a series of theoretical and practical workshops on the exciting methods and technologies currently employed by industry, government, and civil society to address the world's most complex problems. Data Science Summer School will provide the following benefits for participants:
The Data Science Summer School is organized by the Hertie School Data Science Lab with the support of the SCRIPTS Cluster of Excellence and the Stifterverband für die Deutsche Wissenschaft.
The summer school courses will be held virtually on Zoom Webinar
Learn how to use and be comfortable with the statistical programming language R
Understand the fundamentals of quantitative text analysis using statistical procedures
Explore the latest development in the science of modern survey methodologies
Have fun with data visualization - one of the most powerful tools to explore, understand and communicate patterns in quantitative information.
Learn the basics of computer science with one of the most popular programming language. Topics include data types, control structures, functions, and an introduction to the principles of object-oriented programming and computational complexity.
Statistical basis and implementation of two methods for the unsupervised and supervised analysis of images: a visual structural topic model based on the Bag of Visual Words, and Convolutional Neural Networks (CNNs).
This short course teaches students how to extract, store, and process data from the Internet using the R statistical programming language.
Study the basic strategies of research design, including observing control variables, issues surrounding the analysis of causal mechanism, as well as instrumental variable approaches.
A short guide on how to understand and implement automated classification of text into categories.
Investigate the process of how to extract abstract topics from a collection of data and documents.
Acquire the knowledge on how to analyze social network by investigating social structures through the use of networks and graph theory.
Explore and exploit the toolkit and design of experiments for your research
Experiment with ideas. Test and see which works better. Analyze your data.
An exciting introduction into how to investigate data through the lens of machine learning algorithms.
A brief foray into the powerful deep learning methods and applications for extracting insights from unstructured data.
The workshop will introduce the R package sf for handling spatial data in tables, and operating on them using spatial measures, predicates and transformers.
Data Science Lab, Hertie School
Friedrichstraße 180, Berlin