Introduction to Big Data and Machine Learning in Environmental Sciences

In our block course “Introduction to Big Data and Machine Learning in Environmental Sciences”, you will dive deep into the world of geoinformation data and modern analytical methods. You will learn how to process, analyze, and visualize satellite and environmental data interactively.

What to expect:

• Machine Learning: Master the entire pipeline—from data preprocessing to advanced algorithms like deep learning. Gain hands-on experience with real-world datasets from environmental sciences.
• Cloud Computing: Understand how to leverage modern cloud technologies to process and analyze large datasets efficiently.
• Data Visualization: Create interactive maps that make environmental and climate data accessible and intuitive.

Who should join?

This course is ideal for doctoral and master's students from environmental sciences, computer science, and related fields who are passionate about processing and analyzing large geospatial datasets.

Why participate?

• Learn in-demand skills in Big Data, Machine Learning, and Geoinformation that will prepare you for cutting-edge careers in research and industry.
• Join a hands-on, future-oriented program that will equip you to tackle the challenges of climate and environmental sciences.

Further Information