Kursteilnehmer-Bewertung und -Feedback für Data-driven Astronomy von The University of Sydney
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Top-Bewertungen
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
226 - 250 von 281 Bewertungen für Data-driven Astronomy
von Amrit P S
•Amazing course! great assignments.
von Ujjwal J
•best course i ve taken in coursera
von Behzad B A
•Very professional, very productive
von Eric H
•Very delicately designed course
von Sachin V
•extremely multidisciplinary!
von Afiq A H
•Good stuff. Thanks Coursera.
von Luciano S
•It was an amazing course!
von Amit S
•a very insightful course
von Ulisses M C
•The course is excellent.
von Winston A W
•Excellent, than you.
von hawzhin b
•Very useful course ,
von Святослав С
•Excellent course! =)
von Yasith R
•Excellent course..
von RAED B C
•Great cours *****
von Diego J M G
•Muy recomendable
von Syed Z R Z
•Its gerearatttt
von Rohit N
•I'm loving it!
von Jiqing H
•great course！
von Israel d S R d A
•Very helpful
von Renato T
•Excellent!
von 唐怀金
•very good
von Kristina
•Excellent
von Nikhil G M
•great
von 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.
von 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!
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