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Data-driven Astronomy

Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools. The focus is on practical skills - all the activities will be done in Python 3, a modern programming language used throughout astronomy.

Created by The University of Sydney


What you’ll learn

Through this educational resource you can improve the skills sought from companies in 2021. The most in demand technique in the educational opportunity that is often mentioned from organizations is Data Modeling. The most relevant tool is SQL. You will also hear about Programming Skills, a trait commonly included in job descriptions.

Who will benefit?

Mapping material from this educational resource with nearly 10,000 data-related job postings, we discover that those in or pursuing Data Scientist roles would benefit the most.