Learner Reviews & Feedback for Data-driven Astronomy by The University of Sydney

I found this module a good, for me it was good recap of SQL and python. And introduction to ML, big data and astronomy. Exercises are good to do - they do take some time, to do properly and learn from - some of the ML is more cut and past, using python libraries.

Both of the lecturers present the information in a clear and concise way. If you are used to using an IDE grok has some drawbacks such as not auto completing brackets and quotes; these are easily overcome though. Thanks to Both the Murphys for this opportunity.

it is obviously a wonderful course to learn so much about my favourite subjects got good computational skills, Thank you for making this course so easy and understandable, hope I will get more contents like this, Thank you Coursera, thanks to all the faculty.

The course is well defined with clear presentation. From an astronomy prespective, the course provides necessary knowledge for inspiring us to step into data analysis and machine learning. Thank you University of Sydney to host such a course on astronomy

Application consists a lot of basics including using SQL database and programming. This course should be labelled as fundamental. There should another course that emphasises only on the usage and practical applications of ML in astronomical institutions.

I am an astronomy lover and a programmer, for me this course is the first acquaintance with the work of a professional astronomer. It was very interesting thanks a lot! Could you please make an advanced course with laboratory work from real research? :)

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.

The videos are extremely well-done and contain just the right amount of content for astronomy newbies like me. I really enjoyed the use of Grok. Personally, I don't think previous python knowledge is necessary to successfully complete this course.

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.

This course is excellent for anyone who loves astronomy and is looking to working in the field .The concepts are conveyed effectively and the assignments are the most important aspects as they teach a lot more than the videos . Its was fun !!

This course was very useful and insightful for me. I really liked the programming sets. I did feel that there could have been bit more detailed discussion in Machine learning part. I would really love to do an advance course in this subject.

This course has provide me with great insights in the field on Astrophysics. It has really helped in matching my interests in Astrophysics and Machine Learning. Now, I feel confident to play with data from SDSS and Kepler Exoplanet Archive.

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

I'm very happy that i came across this course on Coursera. Even more am I happy that they let me complete this course for free. It showed me how we analyze those tremendous amount of data we receive from telescopes and draw conclusions.

A very interesting course containing information useful for practical application. I wish there was a continuation of this course, because there are still many questions regarding the processing of astronomical data. It would be great!

The course gives a very deep knowledge on the astronomy and also it encourages us to explore ourselves rather than spoon-feeding us. It also gives a good amount of knowledge on application of machine learning in astronomical fields.

It is a really well done course, 100% recommended. Simple but with a lot of information to shared. exercises are really well build in order to anyone can understand the main objective (Astronomy and Machine Learning techniques).

Overall Great course regarding content delivered and the good thing is they kept it short and straight forward; more interesting exercises and programming would have been really great! Looking forward for more advanced courses!

Course follows a very intuitive approach to impart modern astronomy knowledge with big data as a backdrop. Good coverage of materials, well-paced programming instructions, eloquently and excellent presentation of written notes.

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.

Excellent training program for people who wish to combine data analytics skills and astronomy! An entertaining 6-week period with really helpful tips and exercises that I will surely keep in mind in my future work! Thank you!

Loved the mix of theory and hands-on. Very well balanced. Great learning outcomes. Loved that it went as far as to include simple ML into the syllabus. This has made me want to get back into real computational physics again!

This was a great course for me, who wanted to start from scratch on data analysis in Astronomy. The scientific concepts of pulsars, stellar classification, galaxy classification were new to me and fun to learn. Thanks!

Starting from the basics and going into ml - nice content :) iIloved the idea to solve more interresting problems, not only house-price-predict. I would like to see more of such courses in the future. Thank you :)

Completed the course 2 days ago. It was an amazing experience of learning. I was overwhelmed by all practical examples and implementations. I would recommend this course to everyone in either astrophysics field.