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
- Python Programming
- Machine Learning
- Applied Machine Learning
Syllabus - What you will learn from this course
Thinking about data
Big data makes things slow
Querying your data
Managing your data
- 5 stars85.30%
- 4 stars12.94%
- 3 stars1.27%
- 2 stars0.23%
- 1 star0.23%
TOP REVIEWS FROM DATA-DRIVEN ASTRONOMY
This is such an amazing course which helps me to improve my astronomical knowledge and improving my coding skills as well. I'm glad that I came across this course.
Thank you so much !!!
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.
A very good introductory course for data analysis in astronomy for people without prior knowledge of Astro or data analysis. But this course does require some basic python knowledge.
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.
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