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 AstronomyUniversidad de Sidney
Acerca de este Curso
Habilidades que obtendrás
- 5 stars85,12 %
- 4 stars13,10 %
- 3 stars1,28 %
- 2 stars0,24 %
- 1 star0,24 %
Principales reseñas sobre DATA-DRIVEN ASTRONOMY
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.
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
Great introductory course about different real world problems faced in the field of Astornomy and how different technologies and computational solutions can be applied to them.
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!
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si compro el Certificado?
¿Hay ayuda económica disponible?
What programming background is assumed?
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