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.
Data-driven AstronomyThe University of Sydney
About this Course
Skills you will gain
The University of Sydney
Our excellence in research and teaching makes the University of Sydney one of the top universities in Australia and highly ranked among the best universities in the world. In 2020, we were ranked second in the Times Higher Education (THE) University Impact Rankings, and first in Australia in the QS Graduate Employability Rankings.
- 5 stars84.74%
- 4 stars13.62%
- 3 stars1.11%
- 2 stars0.25%
- 1 star0.25%
TOP REVIEWS FROM DATA-DRIVEN ASTRONOMY
This is a great course for anyone wanting to do data science with astronomical datasets. The lectures are clear and interesting and the activities are well structured. I really enjoyed this course!
I really appreciate the structure and content of this course. It gave me very good insight into data driven astronomy, programming language (Python), libraries eg NumPy and machine language.
Really amazing course! Gave me insights into how data analysis works in the field of astronomy and how one can use different machine learning techniques to classify the huge amounts of data generated.
It's a nice and short intro to both astronomy and analysing data with python. For me it was a too short because I would like to learn more about this topic, but totally worth it.
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