Testimonial
I had the great opportunity to attend several workshops organized by DKZ2R, covering topics such as Data Science, Data Visualization, and Machine Learning. Each session was exceptionally well-designed, combining theoretical background with practical, hands-on exercises that deepened my understanding of the subject matter. The instructors were not only highly knowledgeable but also very engaging, creating a supportive and interactive learning environment. The content was up-to-date and tailored to both beginners and more advanced participants, making complex topics accessible and relevant. These workshops have significantly contributed to my research work and technical skill set. I truly appreciate the professional organization and the valuable resources DKZ2R offers, and I would highly recommend their programs to anyone interested in deepening their knowledge in modern data-driven disciplines.
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We contacted the DKZ.2R to learn more about latest research data management tools and respective background knowledge in order to coordinate such efforts in our chair, that is collected heaps of data from experimental studies. The support and workshop we received was an excellent kick-start for our internal discussions and helped shaping our data management practiced tremendously. Beside all questions we had being answered, we received additional information and tools surrounding these topics.
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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.
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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.
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As linguistics and teacher educators, we had theoretical ideas for what we wanted to explore in our research project, but no idea how to begin to put it into practice with python and natural language tools. The DKZ consulting was exactly what we needed. They provided expert advice and guidance at strategic points throughout our data organization and analysis. They brought a wide range of knowledge and expertise to our discussions and we would recommend them for any researcher who wants to learn about tools and methods for their project!
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I contacted the DKZ.2R for help with my dissertation project about multiple things from basic knowledge about functions in R to working with Shiny in R. I was able to choose the extent to which I wanted to understand the logic behind the code and how much background knowledge I wanted. The DKZ.2R team not only explained everything very clearly, but they managed to create a genuine interest for data science and programming in me that made me continue to work with the contents far beyond the original project. Thank you!
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