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.
- 5 stars85.14%
- 4 stars13.22%
- 3 stars1.14%
- 2 stars0.24%
- 1 star0.24%
Great and quick way to learn things. Thanks for the troubles taken to put this together. Some of the computational exercises could do with a little more clarity of language. But, overall, Great!
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!
very comprehensive course, a little bit advance but in general beginner like me can catch up the course with an effort.
the improvement I gain after enroll this course is outstanding
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.