Programming software | SSH Training Discovery Toolkit

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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.
Data handling tutorials	Practical tutorials to manage and handle research data for particular software packages: SPSS, R, ArcGIS and N-Vivo. Tutorials contain many practical exercises.
Core Curriculum	The lessons introduce terms, phrases, and concepts in software development and data science, how to best work with data structures, and use regular expressions in finding and matching data. We introduce the Unix-style command line interface, and teach basic shell navigation, as well as the use of loops and pipes for linking shell commands. We also introduce grep for searching and subsetting data across files. Exercises cover the counting and mining of data. In addition, we cover working with OpenRefine to transform and clean data, and the benefits of working collaboratively via Git/GitHub and using version control to track your work.
JOSS	The code for the JOSS submission tool
SSDS 2018 - Summer School on Data Science Training Materials	Training materials used for the 3rd Int'l Summer School on Data Science (SSDS 2018) Final resource accessible here: https://github.com/SSDS-Croatia/SSDS-2018

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GESIS Notebooks	Have a Binder-Ready repository? With GESIS Notebooks, turn this repository into a persistent Jupyter environment, allowing you to continue your analysis from anywhere at any time. This service is intended for use by social scientists. You can build and launch all binder-ready projects without logging in. If you want to have more persistent projects, you need to log in.
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.
Library Carpentry	Library Carpentry workshops teach people working in library- and information-related roles how to: Cut through the jargon terms and phrases of software development and data science and apply concepts from these fields in library tasks; Identify and use best practices in data structures; Learn how to programmatically transform and map data from one form to another; Work effectively with researchers, IT, and systems colleagues; Automate repetitive, error prone tasks.
Harvard University: online courses	About 200 online courses dedicated to various disciplines including humanities and social sciences.
Software Carpentry	Teaching basic lab skills for research computing. Lessons and workshops in three core topics: the Unix shell, version control with Git, and a programming language (Python or R).