Training Material
All trainings, seminars, and other learning materials provided by the DKZ.2R institutions can be found using the DALIA platform where materials will be continuously updated throughout and exceeding the DKZ.2R funding period.
This event takes place in German
We are happy to announce another event of our well received two-day Carpentries workshop on LaTeX. This time for participants at HU Berlin on 17-18 July 2025. The workshop will cover the basics of structuring and writing a LaTeX document, as well as including graphics, tables, managing references, and other common tasks.
Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. The event is open for participants from the faculty of philosophy at HU Berlin and takes place in German. No prior knowledge of LaTeX is required. If you are interested in taking part in the workshop, you can sign up via mail to the Open Science Ambassadors at the Berlin University Alliance under bua-osa-philfak@listserv.dfn.de.
There are 20 spots, registration deadline is the 30th of June 2025.
As part of our “Trainings” work package, the DKZ.2R creates, curates and presents a variety of free trainings, seminars and courses. Our next offering will be a one and a half day carpentries-style workshop on basic machine learning using python and scikit-learn, to be presented at RWTH Aachen University on 24th and 25th of July, 2025. The workshop will cover the following topics:
Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. If you are interested in taking part in the workshop, you can sign up here.
A basic familiarity with Python is expected, including writing for loops, conditional statements, using functions, and importing libraries.
Course description
R is a powerful programming language and statistical environment that is free to use and offers extensive data analysis and graphical visualization capabilities. This course takes participants from the initial introduction to R to the basics needed to further develop their skills independently or in subsequent R courses. In terms of content, the course covers the basics of programming in R, handling files, filtering and further manipulation of data, and basics of visualization and modeling in R. The course consists of short lecture sections, live coding, and many hands-on exercises to directly apply your new learning.
Participation requirements: No prior knowledge of R; it is necessary to bring a laptop on which the software R and RStudio (both in the latest version) are installed. Participants will receive installation instructions in the confirmation email.
The lecture language is English.
Admission: Please register using the registration form
The course will be taught on-site at Campus Essen on:
September 11th and 12th from 09:00 to 16:00h
All trainings, seminars, and other learning materials provided by the DKZ.2R institutions can be found using the DALIA platform where materials will be continuously updated throughout and exceeding the DKZ.2R funding period.
As part of our “Trainings” work package, the DKZ.2R creates, curates and presents a variety of free trainings, seminars and courses. Our next offering will be a half-day workshop on creating and presenting interactive visualizations in python, to be presented at RWTH Aachen University on 4th June, 2025. The workshop will cover data wrangling, creating interactive visualizations using Ploty, and deploying a small web application using Streamlit.
Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. The event is open for participants from all domains, however a basic knowledge of Python is reccomended. If you are interested in taking part in the workshop, you can sign up here.
As part of our “Trainings” work package, the DKZ.2R creates, curates and presents a variety of free trainings, seminars and courses. Our next offering will be a two-day workshop on LaTeX in the style of a Carpentries workshop, to be presented at RWTH Aachen University on 5-6 May 2025. The workshop will cover the basics of structuring and writing a LaTeX document, as well as including graphics, tables, managing references, and other common tasks.
Workshop material is available online and will be presented by instructors who will walk you through the steps and are available for questions throughout the event. The event is open for participants from all domains, and no prior knowledge of LaTeX is required. If you are interested in taking part in the workshop, you can sign up here.
All course material is available online.
Course Description and Goals:
Statistical learning is a field that teaches students how to analyze and interpret data by applying statistical methods and machine learning algorithms to uncover patterns, make predictions, and gain insights from data. The syllabus includes:
• Statistical and machine learning methods, including linear and polynomial regression, logistic regression, and linear discriminant analysis.
• Model validation techniques such as cross-validation and bootstrap, model selection, and regularization methods (ridge and lasso).
• Nonlinear models, splines, and generalized additive models.
• Tree-based methods, including random forests and boosting.
• Support-vector machines and an introduction to causal inference.
• Unsupervised learning methods such as principal components analysis and clustering (k-means and hierarchical).
Examination Format: Report and Presentation (obligatory to receive participaation certificate)
General Information University: University of Duisburg-Essen
• Learning Platform: Moodle (Link: https://lehre.moodle.uni-due.de/course/view.php?id=1986)
• Hybrid Format: Yes, the course includes both in-person and online sessions via Zoom
• Study Program and Level: Master’s/PhD students
• Weekly Hours: The event consists of three block sessions (lecture with tutorial sessions) with two additional dates for tutorials:
• First session: 02.04. (9:00–14:00)
• Following sessions: 03.04. & 04.04. (9:00–17:00)
• Online session: 07.04.
• Final lecture: 25.04. (9:00–14:00)
• Language: German or English (depending on student preference)
Further information, including locations, and Zoom links, can be found on our homepage: Statistical Learning SS 25
As part of our “Trainings” work package, the DKZ.2R plans to curate and provide a variety of trainings, seminars and courses. We will start by offering an official The Carpentries Workshop on the 17th and 18th of March on the topic of “plotting and programming in Python”. The Carpentries Workshop by DKZ.2R: Python basics and plotting The workshop will be hosted on-site at RWTH Aachen University and is open for up to 25 participants. The workshop material is available online and will be presented by official carpentry instructors who will walk you through the steps and are available for questions the whole time. The course is teaching the very basics of Python and although some experience with other scripting/programming languages is beneficial, no prior knowledge is required for the course. Furthermore, the event is open for participants from all domains. If you are interested in taking part in the workshop you can sign up here.
The DKZ.2R presents, as a part of our “Trainings” work package, a Carpentries Workshop on the 2nd of February with an “Introduction to Git”. This is an official Carpentries Workshop and will be hosted on-site at the Humboldt-Universität zu Berlin.
Workshop material is available online and will be presented by official Carpentries instructors, who will guide you through the concepts with the help of hands-on exercises and personalized support. The course is designed for beginners and is open to participants from all domains. No prior knowledge is required. If you are interested in taking part in the workshop, you can sign up here.
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Workshop material is available online and will be presented by official Carpentries instructors, who will guide you through the concepts with the help of hands-on exercises and personalized support. The course is designed for beginners and is open to participants from all domains. No prior knowledge is required. If you are interested in taking part in the workshop, you can sign up here.