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 stars85.13%
- 4 stars13.23%
- 3 stars1.14%
- 2 stars0.24%
- 1 star0.24%
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
Such a wonderful course. It had a very good mix of astronomy and computer science. The programming activities were especially good and the lectures were very informative. I highly recommend.
An amazing course! Was a bit challenging at first, but it didn't take long for me to get the hang of it. Was quite interesting and informative throughout. Absolutely loved it!
This is a well set course. I have completed one week and I loved blend of maths, astronomy and tools!Course content is not outdated, which is really important for a field like this.