Learner Reviews & Feedback for Data-driven Astronomy by The University of Sydney
About the Course
Top reviews
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.
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
251 - 275 of 307 Reviews for Data-driven Astronomy
By Ujjwal J
•best course i ve taken in coursera
By Behzad B A
•Very professional, very productive
By Kiran B
•Very practical and hands on.
By T.S.Sachin V
•extremely multidisciplinary!
By Afiq A H
•Good stuff. Thanks Coursera.
By Luciano S
•It was an amazing course!
By Amit S
•a very insightful course
By Ulisses M C
•The course is excellent.
By Winston A W
•Excellent, than you.
By hawzhin b
•Very useful course ,
By Святослав С
•Excellent course! =)
By Yasith R
•Excellent course..
By RAED B C
•Great cours *****
By Diego J M G
•Muy recomendable
By Syed Z R Z
•Its gerearatttt
By Rohit N
•I'm loving it!
By Jiqing H
•great course！
By Israel d S R d A
•Very helpful
By Renato T
•Excellent!
By 唐怀金
•very good
By Kristina
•Excellent
By Nikhil G M
•great
By Victor M
•This course lies in the confluence of both my professional experience (software development in the IT industry) and the science that interests me the most: astronomy and astrophysics. Just a glance at the syllabus was enough to convince me that the course would be worth taking, due to its good structure and wide scope, covering current trends in both data science and computational astronomy.
From previous online course experience in these areas, I knew at the beginning that contents can be hard to grasp if the theory and practice are not well balanced, but it turned out to be a great run, with enough depth to pique one's interest while at the same time feeling comfortable using both past and newly acquired knowledge.
The course sports an excellent tool to solve and test the programming assignments that constitute most of the grades you will earn. Thanks to it, you will be freed, as a student, from the most common hassles in online courses involving coding (mainly environment setup). Which means more chances to focus on the main subjects covered and a pleasant wading through the challenges posed.
Beware that if you are already comfortable ín the programming language used (Python), you may easily be craving for more advanced assignments, but this I'm sure is easy to request from the helpful professors and staff. If you are instead a novice with regards to coding, additional parallel effort may be required, but the course contents will guide you well in the endeavor.
One aspect of the course that may be specially challenging is the relatively speedy run through the theory and concepts of Machine Learning. A myriad other online courses on the subject exist already; the course focusses instead more on the application of the techniques and nicely shows real world (or more appropriately, universe :-) ) applications which will help cementing the theories behind. I would expect that if you have not had previous contact with the subject, the contents can feel a bit daunting. But with some extra commitment (check the numerous online resources, take a parallel course...) I am pretty sure this can be overcome.
By Tomislav P
•Generally, I liked the course and really enjoyed it; I think it is really well made. However, I decided to give it 4/5 stars, because it is a bit short, covers only a small part of astronomy and machine learning and because exercises are not that challenging and too much help is sometimes given. I'd give it 5 stars if the course was a bit longer (2-3 times as long), covered more astronomy and machine learning topics (with exercises as well), and maybe most importantly forced the participant to go through more materials to be able to finish the course. Nonetheless, I'd like to thank the course's creators!
By Abel C D
•the course is informative. It combines computing theories along with astronomy. It also helps deal with us about how important is data analysis from the perspective of the astronomer. The number of lecture videos are very less. And don't deep dive into the concepts of astronomy itself. We have to read a lot. Also, this course uses grok learning software, even though it's a great method for coding exercise it has many drawbacks of not fully conveying the concepts. Moreover, the course is a bit outdated when compared to current machine learning algorithms.
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