Our experienced coaches offer a wide variety of training from different digital domains.
We provide training for individuals as well as teams.
Please contact us with questions and requests. We are here to make it happen.
Your entry into the world of agile methodologies: Get an overview of Scrum and Kanban's proven methods. We will teach the theoretical foundations of all frameworks and perform simulations for you to get a live impression of their mode of action. Further, you will learn when to use what framework and what are best practices to apply them.
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Discover what it means to be a leader in a „New Work“ environment. We teach the basics of self-organization, review the approach of servant leadership and give insights into the concept of Organization Design.
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Learn about the Scrum processes in-depth and experience the differences and advantages of Scrum over conventional project management approaches.
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You will learn what the design thinking methodology and mindset are and how you can use them. Furthermore, we will discover the design thinking process steps and give best practice guidelines for implementing it. After the theory part, we dive into practice – learn by example. In the end, you will be able to answer: How would you implement the design thinking approach to solve a problem based on users' needs?
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The design thinking method's first step is to fully understand and empathize with the end-user – the overall process's core. In the "understand phase," the team leans in to understand the underlying challenge. In this seminar, you learn how to frame a problem statement. Teams can refine the statement by discovering more about the customer.
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In this seminar, you will gain an overview of the real-life meaning of Data Science, Artificial Intelligence, Machine Learning, and some more. You will learn about various applications – explained with a focus on real-life implementations rather than focusing on technical details.
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A widespread choice for dealing with data is the use of "pandas," a library mainly designed to deal with tabular data. We will give an overview of pandas' capabilities and potential pitfalls by taking a tiny peek under the hood.
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