Trainings

All our offers are free of charge!

Upcoming Training Events

By DKZ.2R: An Introduction to Using LaTeX for Academic Publishing

Date
Category
Location
May 5-6, 2025
Workshop
Aachen (RWTH Aachen University)
Workshop LaTeX Carpentries

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.

  • Title: An Introduction to Using LaTeX for Academic Publishing
  • When: Monday, May 5th (12pm-5pm) - Tuesday, May 6th, 2025 (9am-5pm)
  • Where: RWTH Aachen University, Germany (Kackertstraße 10, Aachen, DE 52072)
  • Format: This workshop in In-Person and no remote or online attendance options are currently planned.

Training Material

DKZ.2R Trainings
Various data literacy training courses are being created and continuously developed everywhere. A crucial point is to make it easy to find these offers for questions from scientific processes. The basic concepts of RDM form an elementary component of core competence training at DKZ.2R. This goes far beyond awareness-raising in that, on the one hand, RDM is taught in various subject-specific and methodological formats and, on the other hand, the standards, processes and reuse potential etc. developed in NFDI consortia are taken into account and trained. In addition, the DKZ.2R network locations also offer courses in the areas of methodological competence in DS/ML, HPC and basic statistics and programming. These and other external courses are collected centrally, made visible and systematically completed. The resulting course content will be supplemented by existing formats (e.g. DaLi, data.RWTH, data science / data literacy courses, FDM certificate course, etc.).

Researchers are supported with the self-study materials and receive information about the courses on offer. In addition, it will be jointly determined which offers are beneficial for the individual researchers for their personal skills development and research projects. The aim is to identify additional gaps and develop courses that integrate the three methodological core areas of the DKZ.2R. The existing competencies in the area of formative eAssement based on UDE’s JACK platform with its diverse exercise options in the areas of programming, statistics, chemistry and modeling are to be used and further expanded for the specific needs of the RDM. The emerging platform DALIA and the NFDI section EduTrain have a special role to play here: the open educational resources developed will be made available on a sustainable basis via DALIA and made available to the entire community via EduTrain, so that the DKZ.2R as a content provider makes an important contribution to the quality-assured development of teaching and learning materials in order to expand the knowledge graph in accordance with the NFDI and the FAIR principles.

These diverse offerings are to be organized in a competence-oriented, structured and systematic manner in a course register (which can be found via DALIA or ORCA.nrw, among others) so that suitable modules and entire courses can be found easily. The learning objectives matrix, which originates from the FDM community and on which fdm.nrw has collaborated, should serve as a framework for this work. This matrix needs to be adapted appropriately and is a good starting point. In DKZ.2R, these building blocks are regular training, further education and self-learning courses that enable data literacy training in the life sciences, engineering and natural sciences that is as tailored and needs-based as possible. The experience and results from existing activities of this kind, such as fdm.nrw or the participating NFDI consortia, provide an entry point for the construction of the register for the building blocks and comprehensive competence-oriented curricula. Missing elements can also be easily identified and supplied as required.

Past Events

By DKZ.2R: Seminar - Statistical and Machine Learning Methods

Date
Category
Location
Apr 2-25, 2025
Training
Hybrid Format - University of Duisburg-Essen & Online
Seminar Machine Learning Statistical learning

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

By DKZ.2R: The Carpentries Workshop: Python Basics and Plotting

Date
Category
Location
Mar 17-18, 2025
Workshop
Aachen (RWTH Aachen University)
Workshop Python Carpentries

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.

By DKZ.2R: The Carpentries Workshop: Introduction to Git

Date
Category
Location
Feb 17-17, 2025
Workshop
Berlin (HU Berlin)
Workshop Git Carpentries

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.

By DKZ.2R: The Carpentries Workshop: Python Basics and Plotting

Date
Category
Location
Nov 21-22, 2024
Workshop
Aachen (RWTH Aachen University)
Workshop Python Carpentries

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 21st and 22nd of November 2024 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.

By DKZ.2R: The Carpentries Workshop: Introduction to the Unix Shell, Git, and GitLab

Date
Category
Location
Nov 18-22, 2024
Workshop
Aachen (RWTH Aachen University)
Workshop Unix Shell Git GitLab Carpentries

The DKZ.2R presents, as a part of our “Trainings” work package, a Carpentries Workshop on the 18th and 22nd of November on the topic of “Introduction to the Unix Shell, Git, and GitLab”. This is an official Carpentries Workshop and will be hosted on-site at RWTH Aachen University.

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.

I attended a Carpentries Python workshop at RWTH Aachen and was pleasantly surprised. I attended different workshops in academics before but this was one was one of the best. I liked it because there was a clear structure in a very friendly and relaxed atmosphere. Instructors managed to adhere to the given time frames but still provided a very comfortable learning experience. It was a very balanced program frequently switching between theory and practice. The theory was kept concise and easily digestible while practice sessions provided the learner with concrete tasks or riddles to actively put the knowledge into practice and interact with the instructors. Another thing I really liked was that the learning material was made very accessible online and thus made it easy to follow the course. In addition to that the instructors used innovative forms of presenting the learning material. Overall I really appreciated this workshop and highly recommend attending it, even if you already have prior knowledge.

Thuc Anh Nguyen

I wanted to take a moment to sincerely thank you for Carpentries Python Workshop . It was, by far, the most enjoyable and educational Python workshop I have ever attended as a beginner in the field. The content was perfectly tailored for someone starting out, and I now feel more confident in my ability to work with Python. Additionally, the way the entire team responded to our questions was excellent. I was particularly impressed with how they made even the most difficult exercises feel manageable and understandable. I would highly recommend this workshop because it is an ideal starting point for beginners to build a strong foundation in Python.

Majda El Hassani

PhD student in the University Hospital of Aachen