Feb 29, 2020
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
Dec 15, 2019
This is a great course for anyone wanting to do data science with astronomical datasets. The lectures are clear and interesting and the activities are well structured. I really enjoyed this course!
By Ayush N•
Oct 21, 2018
I finished this course today. If you want to learn advanced concepts like machine learning, decision tree classification, SQL, and more; then this is the course for you! I'm a senior in high school, and I'm going to major in Astrophysics. If you love Computer Science this will be an interesting course, as it will show the applications of CS to Astronomy.
Jun 21, 2018
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 I have completed one week and I loved blend of maths, astronomy and tools!Course content is not outdated, which is really important for a field like this.
By Gabriel A•
Mar 04, 2020
Excellent course that provides an introduction to astronomy from a data analysis point of view. The concepts of astronomy that are touched in this course are not very deep. However, they are well chosen so that the course can be done without any problem. On the other hand, the concepts of data analysis and machine learning are very well explained, so that what you learn here will serve as a basis to face new learning challenges. As I said, just excellent!
By James H•
Mar 20, 2020
I enjoyed the course. I felt this was a data course with an astronomy wrapper, which is great, because the data portion is applicable way beyond astronomy. The course provides a good intro into numpy (a super useful python library) and sklearn (a super useful machine learning library). I would take this course again.
By Reinaldo L N•
Mar 06, 2020
I have been an astronomy addict since I was a teenager; but, thinking about money, I had a computer science background. Now that I found out the wonderful universe of data science and specially its connection to how astronomy can progress with it, I think i'm completely back to studying our wonderful universe.
By Andrew U•
Feb 13, 2020
This is a great course combining interesting topics in astronomy with corresponding python challenges. Numpy, SQL and machine learning are all covered here in an astronomy context, though it's easy to see how the same techniques could be applied to other fields.
By Maria D•
Mar 29, 2020
Very interesting course that offers plenty of practical applications and insights into data handling for astronomy. It sparks the interest with interviews of experts and additional material on the astronomical topics studied.
By João P M•
Jul 15, 2017
One of the best courses I've done on Coursera. Just enough astronomy to understand the problems, and then go into the exercises in a step by step way, building up complexity. Couldn't stop!
By Maria S•
Apr 09, 2020
Best MOOC I've ever done. Great for anyone interested in astronomy and/or machine learning.
By 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.
By José R S•
May 05, 2020
Gostei demais das aulas condizentes com a posterior apresentação do conteúdo e aplicação dos exercícios. Acredito que alguns deles contém alguma falha na avaliação como uso de funções que não foram apresentadas, isso implica que um estudante atento possa pensar que não pode usar aquela função (como uma trapaça) ou mesmo um estudante ainda leigo na específica tarefa. Acho isso um probleminha pontual e que não interferiu de maneira alguma no aprendizado, afinal, a solução está lá para ser verificada.
O conteúdo é bem abrangente e aborda de maneira geral uma gama interessante de assuntos da astrofísica. Achei que no começo iria trabalhar somente com pulsares hehe. O que mais me instigou foi a aplicação das técnicas passadas a astrofísica, o seu embasamento e suas limitações. Foi um apanhado geral e pode ser considerado como introdutório.
Finalmente sei por onde continuar porque ter começado aqui foi um acerto e tanto!
By 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!
By Gautam D•
Dec 03, 2017
First few weeks are challenging, from the coding point of view, but the knowledge that one gains about our Universe is simply fantastic. I've never enjoyed using a Programming language to solve, even though at a beginner's level, problems up until this class. Simply fantastic. If you're curious about Deep Learning, like I am, and are an aspirant in the field of Machine Learning, I highly suggest this course if you're trying to work your way around beginning your journey in Python. I'm proficient in R.
I can't believe this but I've always loved Astrophysics. After 6 years of education and getting a Master's in Industrial Engineering, this course has reignited my love to study our Universe. I will be hungry for more and will be returning to school in the near or distant future for a degree in Astrophysics. Thank You, I love Physics and I really wish I didn't waste my time pursuing what I did pursue.
By 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.
By Javier E•
Oct 10, 2019
This is a very interesting introduction to data analysis and machine learning for astronomy. The hands-on approach makes the course quite engaging.
The course is well structured and presented. The lectures are interesting and the explanations clear. The course materials are well chosen to illustrate what is being taught in the lectures. The development environment (Grok) is usable and glitch-free.
The choice of programming language, Python3, looks quite right to me. Python has become the "new normal" in astronomy. It offers an easy learning curve and a myriad of well tested modules which are available for free.
I really enjoyed this course and I would recommend it to any one with an interest in this or related subjects.
By Arnaud D•
Aug 18, 2018
This is real astronomy ! A fantastic approach to current research subject. If you want to learn astronomy from the ground up, take an introductory course before this one. It starts directly to studying pulsars statistics, and most important, how to detect and study it. All the worshops are in Python, using a web notebook. But it's neither an introductory course on Python. So, it' better to have a minimum knowledge on programming and Python language. But, if you have the prequisites, and are interested to do computation for astronomy using large datasets, this is the course. The techniques can also been extended to other computational intensive domains.
By Santiago M Z O•
Sep 08, 2018
Just finished this wonderful course, it teaches (mostly in Python) the basics of how to apply certain techniques of data handling, processing, and analysis, in the realm of Astronomy, which has vast amounts of collected data and which I've loved all my life as a hobbyist! This knowledge is very useful and can be extended to many other scientific fields. The course has a great mix of theory and hands-on exercises (with a great supporting online coding platform), and encourages people to continue reading and experimenting on their own.
By 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.
By 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!
By Chinmaya N•
Nov 20, 2019
I enjoy learning about recent advances in astronomy. Since astronomy isn't my vocation, I usually have to settle for a view from the sidelines. Although that may still be the case, I think this course has taken me to a seat in the front row. Moreover, I learned computational thinking, which is immensely useful in my vocation. I couldn't have asked for a better way to marry my love of astronomy with practical knowledge of modern day tools to extract, store, and manipulate data and glean useful insights from the data.
By Vishwa J•
Feb 05, 2020
It was a great course. A basic understanding of how python works and few of its modules is enough for this course. Astronomy lovers and a techie must combine their both the skills and learn how to take all the openly available data from different telescope available online and come to their own conclusion from it. Operating a FITS file, image stacking, image processing, DBMS, SQL query, editing database, reading database, taking output from a big database using classifiers, finding distance to stars and much more.
By Richard E•
Jan 04, 2019
I enjoyed this fusion of programming with Astronomy topics. Note that the exercises use the Python programming language (no substitutes permitted), fairly generic Structured Query Language (SQL) for databases, numpy (science math tools) Python library, scikit-learn (machine learning) Python library, and matplotlib (math & plotting) Python library.
I highly recommend this course, even if you are already experienced in a subset of the above.
Would be interesting: a 2nd more advanced course.
By Atul N•
Feb 09, 2019
What I liked about the course was the graded programming assignments, which help to introduce a person to machine learning techniques and other problems in astronomy data processing. Being a physics student by formal education and a star gazer too, I am familiar with the theory but was always curious about how to they measure distances, how do they measure red-shifts etc when the distant galaxies are themselves so faint. This course helped me understand these stuff....
By Ravi P B•
Mar 30, 2020
Excellent Course.I really really enjoyed my journey throughout the course.Got to learn so much from the course whether its regarding to SQL or to python.Course also offers great insights into developing and structuring Machine Learning Projects.The Science part was absolutely amazing and thrilling ,the lectures were brilliant as well as concise and both the instructors were so good.Its been a beautiful learning journey for me.
By Russell O•
Jun 20, 2017
Thank you for a very interesting, educational, and ofttimes challenging course. I suspect the instructors and mentors have introduced me to only the tip of the iceberg - 98% of data-driven astronomy lies below the surface and inside enormous datasets/databases. It almost makes me wish life had taken a different course and brought me to this fascinating subject. I would look forward to any further courses from you.