SRH Hochschule Heidelberg
Academic Events

Data & Coffee


Unlock the Power of Data! Join us for an exhilarating journey into the world of data science. Immerse yourself in insightful discussions, hands-on workshops, and networking with fellow data enthusiasts.

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Data & Coffee Header

Greetings Data Enthusiasts, Innovators, and Learners! 

Welcome to the nexus of data-driven brilliance — the "Data and Coffee"  Meetup! In a world pulsating with information, algorithms, and insights, we invite you to an immersive experience where data science becomes more than just a field — it's a community, a conversation, and a journey of discovery. 

Whether you're a seasoned data pro or just starting your data journey, our meetups are the perfect space to explore, learn, and connect. Don't miss out on the opportunity to discover the latest trends, share experiences, and be part of a vibrant community pushing the boundaries of what's possible with data. Unveiling the Tapestry of Data Science: Embark on a knowledge odyssey with us! This isn't just a meetup; it's a convergence of minds passionate about unraveling the mysteries of data. 

What Awaits You: 

  • Lightning Talks: Ignite your curiosity with rapid-fire insights from our community members
  • Networking Galaxy: Forge connections with fellow data voyagers 
  • Share experiences, ideas, and maybe even embark on collaborative ventures
  • Panel Constellation: Navigate the cosmos of emerging trends in data science through a dynamic panel discussion

Why This Meetup Matters: 

  • Fuel Your Knowledge: Gain insights from the brightest minds shaping the future of data science. 
  • Connect & Collaborate: Network with professionals, enthusiasts, and learners in the data space. 
  • Empower Your Journey: Whether you're a data wizard or a novice, find inspiration and empowerment in every data point. 

Who's on Board? 

🧠 Data Scientists 🔍 Analyst Explorers 👩‍💻 Coding Pioneers 🎓 Knowledge Seekers ... and YOU!

Portraifoto Swati Chandna
Prof. Dr.-Ing. Swati Chandna

School of Information, Media and Design | Professor of Data Science | Study Programme Director Applied Data Science and Analytics (M.Sc)

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