- Scope: 2h introduction to Python programming online training
- Level: All
- Format: Online
This training is available on demand. Please contact Rosina Preis via rosina.preis@eitmanufacturing.eu for further information.
€ 150,00
In stock
excl. 20% VAT
This training is available on demand. Please contact Rosina Preis via rosina.preis@eitmanufacturing.eu for further information.
In stock
Begin your journey into the dynamic world of programming with our interactive “Introduction to Python: Unlocking the Framework to Get Started in Coding” online training. This engaging session will not only introduce you to the fundamental principles of Python programming but will also provide insights into the versatile TUWEL learning platform, the magic of Jupyter Notebooks, and the basics of using types and variables. Join us for an enriching session that promises to demystify Python, inspire innovation, and set you on the path to programming excellence! This immersive experience is designed for enthusiasts and beginners alike, providing a hands-on exploration of the fundamental building blocks of Python.
Join our expert instructors in a dynamic online environment, where you’ll not just learn but also actively engage in coding exercises, discussions, and real-time problem-solving. Dive into the world of coding excellence and ignite your journey towards a tech-powered tomorrow together with experts!
This training is part of the learning path “Industrial Data Science” and may be combined with other sessions.
Main learning outcomes:
Who is this training for:
“Introduction to Python: Unlocking the Framework to Get Started in Coding” is a 2h online training which will include the following topics:
After the training, the course materials and training will be available on demand. For on-demand training and further information, please contact Rosina Preis via rosina.preis@eitmanufacturing.eu.
Traner 1: Dipl.-Ing. Linus Kohl
Linus Kohl works as a research associate at TU Wien and Project Manager at Fraunhofer Austria. He has experience in leading and managing research projects involving topics related to predictive and prescriptive maintenance, data analytics and developing novel machine learning solutions.
Trainer 2: Dipl.-Ing. Theresa Madreiter
Theresa Madreiter works as a research associate at TU Wien and Fraunhofer Austria. She has experience in leading and managing research projects. Her focus is on utilizing data for improved maintenance solutions, with a specialty in predictive maintenance and the analysis of unstructured data.