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Avis et commentaires pour d'étudiants pour Data-driven Astronomy par Université de Sydney

1,241 évaluations

À propos du cours

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. Regardless of whether you’re already a scientist, studying to become one, or just interested in how modern astronomy works ‘under the bonnet’, this course will help you explore astronomy: from planets, to pulsars to black holes. Course outline: Week 1: Thinking about data - Principles of computational thinking - Discovering pulsars in radio images Week 2: Big data makes things slow - How to work out the time complexity of algorithms - Exploring the black holes at the centres of massive galaxies Week 3: Querying data using SQL - How to use databases to analyse your data - Investigating exoplanets in other solar systems Week 4: Managing your data - How to set up databases to manage your data - Exploring the lifecycle of stars in our Galaxy Week 5: Learning from data: regression - Using machine learning tools to investigate your data - Calculating the redshifts of distant galaxies Week 6: Learning from data: classification - Using machine learning tools to classify your data - Investigating different types of galaxies Each week will also have an interview with a data-driven astronomy expert. Note that some knowledge of Python is assumed, including variables, control structures, data structures, functions, and working with files....

Meilleurs avis


10 sept. 2020

Really amazing course! Gave me insights into how data analysis works in the field of astronomy and how one can use different machine learning techniques to classify the huge amounts of data generated.


28 févr. 2020

Its been amazing to learn about the celestial objects, stars, galaxies. The lectures and quizzes spurred in me to explore new material online. Great hands on exercises in python and machine learning

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326 - 350 sur 360 Avis pour Data-driven Astronomy

par Pavel K

20 oct. 2018

Overall the course is great, I highly recommend it to astronomers who want to learn some new tricks in data science. Meanwhile, it is not so useful for everyone else - lections are super brief and superficial, coding assignments are very easy and not challenging at all, not only you have a pretty self-explanatory template (do A, do B), but it is possible to view a complete solution right away, which is rather strange approach.

par Ioannis A

4 mars 2022

Great introduction to the world of computational astronomy. I especially enjoyed the theory and details in astronomy-related subjects at each section. The computational techniques seemed rather simple/introductory and not explained in great detail. Having a good background in computer science and machine learning techniques is a plus to smoothly go through this course.

par Rene F

4 sept. 2017

So far, the first week has been interesting. Challenging because I am new to Python (I am a C/C++, Swift and ABAP developer) . The assignments are well guided - challenging but far from impossible.

I would like the videos to be a little longer or give a little more theoretical background but mostly it has the right amount of info.

par Adam S

25 juin 2017

I thought this class was a great application of Python Programming to an interesting topic that I otherwise would not have learned. However, coming from a computer science background, the programming was pretty easy. If you are looking to strictly learn more about programming, I would suggest a more difficult course.

par Antoni C M

7 oct. 2018

I've really enjoyed this course! There are a lot of new things to learn in it. Just to say something not so good from my point of view is that in the exercises sometimes the libraries or code to use could be a bit more explained or documented. But in general it's very good. I recommend it.

par Antonio P

29 août 2020

It is a very interesting course and the way astronomical problems and coding problems are connected is seamless and very interesting. Also, the videos have great quality and the interviews were great. I only wish it was a bit longer and also pandas were part of it

par Doug

28 janv. 2018

Good course, with fun examples to work with. I'm not an astronomer, and mainly took the course for fun,but the things I've learned here will be useful for my own research. About the only thing I would have liked to see was more background material on each topic.

par ganesh n

6 mars 2022

this was an amazing course which gave me a general idea about the sheer amount of data that is required in DDA. How to handle the large volumes of data and many more. And most importantly how data is being used to find answers to the secrets of the universe.

par Roberto G

30 juin 2020

Very interesting approach to astronomy, although I would have preferred larger part of the course devoted to strictly astronomical topics and less time spent on basic quantitative notions. By the way, thank you, you gave me some hours of enjoyment.

par Archana B

10 juil. 2020

An amazing course to get started for someone like me, passionate about astronomy and closely related to the field of computer science. Very well organized and nicely explained course with great visuals and mid-tests. Kudos to the instructors!

par Apoorv S

17 avr. 2021

Could have been a bit more elaborate. At many points during the activity I felt like I was just doing what was asked without really was happening fundamentally .So overall activities could have been a bit more Indulging hard and informative.

par K S R

25 sept. 2019

A really good course covering a variety of subjects in both astronomy and data analysis which is exactly the combination I was looking for. A final exercise covering all the topics taught would have been a fitting end to the course.

par Vibha

8 déc. 2019

Well-taught, good supporting resources, and heavily rooted in application. The external grading tool exceeded expectations as well. Next time, would prefer more of the code being explained by the instructors.

par Federico T

24 juil. 2017

A good introduction in Data Astronomy with Python. I missed some lessons about python to finish some of the volunteer exercises and some contact with astronomy data from the web, but it is a great course.

par Gautam B

21 avr. 2017

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!

par Francisco

15 mai 2019

Interesting introduction to machine-learning techniques applied to astronomical data. I think very adapted to astronomers willing to learn about this topic or to astronomy students.


29 sept. 2019

If you want to learn Python and a bit of Machine Learning in the context of Astronomy then this is a great course to give your skills a boost and learn more about modern Astronomy.

par Chairrex C

23 janv. 2021

I am interested in stars, galaxies and black holes. Learning to write simple programs about data processing in astronomy has enhanced my understanding of these fields.

par José L I M

29 juil. 2020

I've been researching on both machine learning and astronomy, this is a nice course to get introduced on how things are being made in data-driven Astronomy.

par John I

31 août 2019

I enjoyed the course.

The only issue was with a couple of the python labs not having the data to try within my own environment.

par Ayush R

15 mai 2020

One of the best courses on astronomy and coding. So thoughtfully created and explained. I would love if y'all do this course!

par Ignacio d L A G

27 déc. 2019

He aprendido cosas, hasta ahora, desconocidas para mi. Me ha abierto la curiosidad por investigar

par Anand K

31 janv. 2020

So the course is of introductory type. Not much in depth. Great for beginners in Data Science.

par Yash M

27 nov. 2021

It is nice and useful course. Hope it will give me some momentum in my project work!