- Scope: 1,5h online training on storytelling with Python
- 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
Discover the possibilities of programming with our interactive online training “Storytelling with Python: Transforming Code into Engaging Stories”. Join us for an immersive session where we unravel the narrative potential of Python, empowering you to transform code into compelling stories. Through real-world examples, hands-on exercises, and expert insights, this online training is meticulously designed to enhance your coding skills, ensuring you leave with a comprehensive understanding of how to weave storytelling elements into your Python programs. Immerse yourself in an interactive experience that will revolutionize your approach to programming as a form of creative expression.
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:
“Storytelling with Python: Transforming Code into Engaging Stories” is a 1,5h 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 get in touch with 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.