Jun 30, 2017
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.
Aug 11, 2019
Such a wonderful course. It had a very good mix of astronomy and computer science. The programming activities were especially good and the lectures were very informative. I highly recommend.
创建者 Harshal G H•
Jun 14, 2018
First, I enjoyed the course, thank you. I am a computer scientist by profession, and came here to learn how astronomers perceive data analysis software in their pursuit. This course not only introduced me to how software is used for data analysis in astronomy, but also gave me insights on challenges the community is (or could potentially be) facing. Course is well-paced on theoretical and programming fronts, along with necessary hand-holding whenever required. Hoping to see an advanced version of this course. Thank you again.
创建者 Dominik Z•
Aug 06, 2017
Well prepared and very informative course. Was very hands on and also didn't require any setup, which allowed to dive right into the problems. One of the best courses I've taken online, staff was very helpful.
创建者 Orlando A M M•
Aug 09, 2017
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!
创建者 Ernesto P•
Sep 28, 2017
Great course and very good material
创建者 Cameron D K•
Jan 25, 2018
Great course! Learned a great deal even though I'm not an astronomer.
创建者 Max H•
Apr 14, 2018
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!
创建者 Matt L•
Jun 26, 2017
Astronomy, Python, and SQL ... like all my favorite friends in the same place!
Mar 15, 2018
Highly recommended course for both astronomical and computer science students.
创建者 Diogo B d L S•
Sep 03, 2017
From Python basics to Scikit and the universe in a few weeks got smoother than I expected.
创建者 Alexei M•
Aug 11, 2017
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.
创建者 Carlos N•
Apr 19, 2018
It's been a very interesting and enriching point of view of astronomy. I loved the way computing can help astronomy.
创建者 Rodrigo J•
Aug 12, 2017
Fantastic and concise hands-on course!
创建者 Alan M•
Oct 12, 2017
Although, I gave a five star, but I have following notes:
It was brilliantly structured on shaping and combining scientific problems with data science to tackle those issue. However, it could use few more examples to add to our current skills. Thank you again. That was the course I was looking for, after taking a course on Machine Learning by Andrea NG, from Stanford University.
创建者 Maksym M•
Jun 28, 2017
The course is fantastic for those who want to work in the field of high-energy astrophysics. Many useful skills are taught during the course and many interesting activities are proposed. I highly recommend it.
创建者 Anurag A•
Sep 14, 2017
Unique course, very much excited to learn new things
创建者 Kristina I•
Apr 19, 2017
创建者 Jerome L•
Oct 16, 2017
I really enjoyed this course. It is very well structured, with a good progression in the complexity which make it accessible even for people who have quite no skills in Python or SQL, and who are no astronomers (like me). The teachers use a wide range of astronomical subjects to illustrate the different techniques used in data analysis. They propose examples and exercises based on real datasets, which is fabulous for people like me who don't have access to such datasets (or can have access to, but no comprehension of what they show).
Teachers are also reactive in the forums, which is much appreciated. And, for a non-english speaking person, the subtitles are very usefull. The Grok interface is incredibly easy to use, with, again, a progressive complexity in the exercises, and great explanations at each step.
If I tried to find something to improve, I would say: make more obvious how the learned techniques can actually help and improve astrophysical research, maybe with more examples of publications or concrete results obtained in the research field. But it's just quibble over details :-) The interviews in the bonus are very interesting.
So, congratulations for this great work, and thank you for opening a little bit the door of your laboratory :-). Now, more than ever, I hope to work in this domain one day.
创建者 Jonathan C•
Dec 29, 2017
I highly recommend this course if you are curious about some of the big data tools and techniques used in astronomy. Especially if you already use Python a bit and want to try out some machine learning and other astronomy related python tools. I wanted to learn something about astronomy and to play with the data - the cross-matching and machine learning were my favourite parts of the course. As usual, I'm in awe about what we know about the universe - so to casually play with data on Active Galactic Nuclei for example, or redshifts of galaxies was great fun, educational and just brilliant. I've got things I want to try out now, before starting another course. Oh, and the two tutors present the material very well on the videos.
创建者 Tara S•
May 27, 2017
I absolutely loved this course. I can honestly say this is my favorite class I've ever taken. What a perfect blend of real astronomy, programming, Python, SQL, machine-learning, and data analysis. Thank you SO much for creating/curating this course, and for all the mentors for their help and insight. I wish I could do this type of work for a living. Well-done!! Five stars.
创建者 Syed K H•
Feb 26, 2018
One of the interesting course and topic of coursera. Very informative, even you are not from this field, you will get lots of knowledge of this Astronomy.
创建者 PREMCHAND U•
Jun 09, 2017
Great course !! really enjoyed learning astronomy with data science..
创建者 Paul L•
Jun 01, 2017
An optimal course for the type of learning that I am interested in. The programming assignments had the right level of challenge to keep me engaged with the lecture material. The use of Grok Learning tools was a definite bonus.
创建者 Nazarov A P•
Jul 17, 2017
Very good intraductional course to modern astronomy that is nowadys more and more science about data. Not so much astronomy theory but good programing tasks, sometimes challenging, especially in the starting weeks. As addition some introduction in machine learning is provided. I would recommend it to everyone interested in data analysis in modern science.
创建者 Akash M P•
Sep 10, 2017
Most of all courses in astronomy and astrophysics are just introduction to subject or provides little advanced theoretical perspective but this is one of the courses which teach us practical astronomy and let us have insights of how astronomers really use physics as well as computers to to get something good out of it.
创建者 DEBASISH C S•
Feb 18, 2018
A solid, compact, no-nonsense introduction to machine learning in Astronomy using Python's rich scientific tool sets. I think the knowledge will help equip the learners to straight away apply some of the skills in practical scenarios not only in Astronomy but also in other ML scenarios. A delicious Apple pie of Computer science, Astronomy and Programming served in a bite sized fashion.