The SSH Training Discovery Toolkit provides an inventory of training materials relevant for the Social Sciences and Humanities.

Use the search bar to discover materials or browse through the collections. The filters will help you identify your area of interest.

 

Data visualization

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Scratch: Programming for Teachers

In this course you will learn the basics of programming and how to teach it yourself as a primary or secondary school teacher.

This MOOC teaches programming in Scratch through fun videos which explain programming in an inspiring and clear way. These videos are accompanied by assignments which let kids practice programming and create programs they will like to use themselves!

Every week you build a different Scratch project yourself: a flappy bird game, a virtual pet or a Mondriaan like artwork. Also weekly, new programming blocks are taught and together we’re working on ways to improve your written code. In addition, you will learn how you can integrate the same programming lessons in your class for both primary and secondary education.

Webinar recordings

Recordings of past webinars organised by the UK Data Service.

Applied Data Visualization

The workshop Applied Data Visualization introduces students to the theory and methods underlying data visualization. Data analysts face an ever-increasing amount of data (→ big data) and rather revolutionary technological developments allow researchers to visually engage with data in unprecedented ways. Hence, data visualization is one of the most exciting fields in data science right now. In this workshop students acquire the skills to visualize data in R both for exploratory purposes as well as for the purpose of explanation/presentation. We'll rely on R, the most-popular statistical programming environment when it comes to visualization and we'll make use of popular R packages such as ggplot2 and plotly. Besides creating static graphs we'll also have a look at interactive graphs and discuss how interactive visualization may revolutionize how we present data & findings.

Please note, this is an example of a possible workshop. Some workshops are offered regularly. An updated workshop list is to be found under the link provided under the Access point.

CLARIN:EL

clarin:el is the Greek national network of language resources, a nation-wide Research Infrastructure devoted to the sustainable storage, sharing, dissemination and preservation of language resources.

The Central Aggregator is the central Repository of the clarin:el Infrastructure, which is responsible for the harvesting of metadata from the local Repositories, the organisation and the presentation of the metadata descriptions in a uniform catalogue and the provision of access to the Language Resources to the network members and to the public.

Digital Humanities Data Curation

The Guide offers concise, expert introductions to key topics, including annotated links to important standards, articles, projects, and other resources.

Intended to help students and those new to the field, the DH Curation Guide also provides a quick reference for teachers, administrators, and anyone seeking an orientation in the issues and practicalities of data curation.

As indicated by the name, this community resource guide is intended to be a living, participatory document. 

The DH Curation Guide is a compilation of articles that address aspects of data curation in the digital humanities. The goal of the DH Curation Guide is to direct readers to trusted resources with enough context from expert editors and the other members of the research community to indicate to how these resources might help them with their own data curation challenges.

Each article provides a short introduction to a topic and a list of linked resources. Structuring articles in this way acknowledges the many excellent resources that already exist to provide guidance on subjects relevant to curation such as data formats, legal policies, description, and more.

Interactive Tutorial for GitHub

A series interactive tutorials to get started with Git, including modules offering a basic introduction to Git, Git branching, visualizing Git and more. It includes a link to the GitHub Learning Lab, which offers the opportunity to learn GitHub by completing realistic projects in your very own GitHub repository, with advice and helpful feedback.

Introduction to Digital Humanities

Develop skills in digital research and visualization techniques across subjects and fields within the humanities.

Social Science Curriculum

This workshop uses a tabular interview dataset from the SAFI Teaching Database and teaches data cleaning, management, analysis and visualization. There are no pre-requisites, and the materials assume no prior knowledge about the tools. We use a single dataset throughout the workshop to model the data management and analysis workflow that a researcher would use.

Introduction to Digital Humanities

This course consists of a series of videos featuring a variety of voices and perspectives discussing a range of methodologies and theoretical approaches. At present, we have two strands: one that addresses the question What is Digital Humanities under the title: ‘My Digital Humanities’; and a second entitled ‘Digital Humanities in Practice’ which goes into more depth theoretically or methodologically, or focuses on disciplinary practice, standards or approaches.

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GESIS Training

At GESIS we offer a wide range of events, especially training courses on empirical social research methods. Our theory founded and hands-on courses develop participants’ methods skills and are aimed at both early career and senior researchers from Germany, Europe, and the whole world.