Kursteilnehmer-Bewertung und -Feedback für Data-driven Astronomy von The University of Sydney

It's been an amazing and educative journey. Besides sharping my Python skills, the Astropy and Numpy library are really a wealth of knowledge that is worth using. Machine learning was new for me, specifically decision trees. I got some knowledge 20 years ago about neural networks and fussy logic, but his was something new. All in all, the instructors and assisting staff showed their expertise both in the programming part as well as in the astronomical domain. Really a recommended course for those who love both domains!

Excellent overall Course, fantastic content, teachers and organization. We need more!!!!

A very interesting course, even though I am not an astronomer. Plenty of examples on the use of Python for data handling, ML classification of astronomical objects (sklearn), plus a neat section on RDMS usage (postgresql + python). Many thanks to all at astro-sydney for their help and Coursera.

Great course to get an overview of the type of problems that astronomy faces and how to use data and machine learning techniques to solve them.

I used it to learn Python which made it more challenging but the content inspired me to get through it... excellent

I've been looking for a class like this for a while. Nice intro to python and accessing and manipulating astro data

Amazing course! I learned a lot about astronomy, quasars, galaxies, machine learning, python and the scientific libraries numpy, scikit-learn, scipy, creating programs that are optimised in memory use and that complete in reasonable time

Very well driven course! Step by step you will learn it very progresively

The course is excellent.

Fantastic and concise hands-on course!

Excellent course! =)

Great course and very good material

Great course! Learned a great deal even though I'm not an astronomer.

Dr Tara Murphy is exceptionally good at extracting and compressing essential informations and transporting it to the audience. A very well structured course with phantastically produced short movies about basic astronomy topics on an introductory level (great fun to watch this powerthirstesque kind of galactic round-house kick) Reveals some very important fundamentals you should know about scientific computing, introduces you to some of the really hot public scientific libraries, and, eventually, adds some GROK platform learning experience which is unparalleled. There's only one downer (two if you add Dr Simon Murphy's noctilucent shirt in his first lecture): it only scratches a few microns of that nasty double-headed science dragon. Don't expect to to be able to solve problems on the scale of the real world, er... universe with the obtained knowledge. Nevertheless, great job Data-driven Astronomy team!

Great. Intensive Python. Very rewarding!

Astronomy, Python, and SQL ... like all my favorite friends in the same place!

Great class! I didn't know that these techniques were used in astronomy. I am looking forward to more science and scientific computing courses from Coursera.

Good introduction course to big data. Some prior knowledge of Python is good to have to make it easier to get through the course, The astronomy part of the course is very interesting. It has changed much since I took university level courses in it.

This course was absolutely fascinating, thank you so much! I especially enjoyed the discussions about actually thinking through the data instead of just jumping in with whatever tool or algorithm you normally use, loved the short astronomical overview pieces and their quizzes, and the bonus material - interviews of people working in the "real world" out there - was great.

Fun, engaging programming-focused assessments with just the right balance of structure and freedom. Diligent mentors such as Magda on the Forums. All embedded in the wonderful content of Astronomy. Good for practising Python and an intro to SQL.

It's been a very interesting and enriching point of view of astronomy. I loved the way computing can help astronomy.

Highly recommended course for both astronomical and computer science students.

Astonishing course!

From Python basics to Scikit and the universe in a few weeks got smoother than I expected.

A great place to get hands dirty for those who are interested in how modern astronomy handles and does science with observational data. Good for both amateur astronomers and professionals. I enjoyed the course very much. Impressive is how practical part of programming was made available and worked smooth most of the time.

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.