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 AstronomyСиднейский университет
Об этом курсе
- 5 stars84,94 %
- 4 stars13,39 %
- 3 stars1,16 %
- 2 stars0,24 %
- 1 star0,24 %
Лучшие отзывы о курсе DATA-DRIVEN ASTRONOMY
This course is exceptionally good, well developed and structured. The content of the course is good. The teachers have demonstrated the concept well. I would like to learn more on this concept.
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 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!
Great course with a good balance of code and the rewards to be had from understanding how the code works - proved to be an excellent introduction to Astronomy and confidence builder in Python.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оплатив сертификацию?
Можно ли получить финансовую помощь?
What programming background is assumed?
Остались вопросы? Посетите Центр поддержки учащихся.