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
par Arunav R•
This course was such a big help to me . I leaned about astronomy as well as develop some skills of data science which might help me in other platforms as well. The explanation was good and I liked all the real time problems .
One thing is that providing the solutions of the code makes it easy for us to solve the coding problems and it's very intimidating to look at the solution if we're stuck somewhere in the coding. It's a kind of a downside when viewed in a neutral perspective .
Other than that the content was really good and hopefully advanced courses of this course will be provided to us.
Cheers . Thank you!
par Guy W•
This is a great course on data-driven science introducing most important aspects ranging from data collection, data access and management to data analyses. It addresses issues that I was not aware of when it comes to huge data sets such as computer memory and CPU time. It was thus rather interesting to me to see some ways of handling these issues. Last but not least, this course remains free and accessible to everyone as was originally the philosophy of MOOCs or at least some platforms. I was told this is a trademark of astronomers (free access to data and knowledge). Thanks a lot!
par Amrit N•
This course is absolutely for beginners. Very minimal knowledge of python is required. The course is perfectly designed for beginners. The contents are present in so lucid manner and the instruction to complete the activities are so easy to follow. If you are interested in learning python a bit and as well apply them to build concepts of astronomy, the boom, you are at the right place! Go ahead and get yourself some pretty pictures of the universe or be happy with how you make the first machine learning regression/classification of galaxies. Whatever pleases you!
par Sasi M•
Extremely fun and helpful.
The instructors do an excellent job explaining fun astronomy concepts while relating them to something from Computer Science, leading to a really good learning experience in both topics.
The Coding section isn't hard to catch onto, and the problems, despite their apparent complexity, are explained well enough that even novice Python programmers can solve them.
If you love Astronomy and want to learn more about Computer Science or want to get your feet wet in Data Science with Python, this is a really great stepping stone to begin learning.
par Santiago M Z O•
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.
par Harshal H•
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.
par Orlando A M M•
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!
par Chinmaya N•
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.
par Vishwa J•
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.
par Richard E•
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.
par Atul N•
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....
par Ms. C S Y•
Very good. I like how the course is structured - every week we first learn the basic knowledge of the astronomical objects in concern, followed by hands-on coding practice on solving problems, and learning the programming language and/or machine learning algorithm at the same time. It is really suitable for astronomy students like me, to get to know the additional data science and computational skills necessary for entering a field that uses big data all the time.
par Ravi P B•
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.
par Russell O•
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.
par ANWESH B•
Simply superb, I'm aspiring to pursue an academic career in AstroInformatics and I can see this course serving as a great foundation. Not only were numpy/SQL/scikit-learn tutorials were brilliant from a computational perspectively, but the exposure to concepts in astronomy/astrophysics were insightful too! Would recommend this course to anyone in astronomy, or a CS person wishing to get into astronomy.
par Lyle D•
One of the best courses I have taken. The instructors are fantastic! This course is like a 500 page novel that you cannot put down and now you are on the last 10 pages. I do not want this course to end!! It was such pleasure to go through the videos and problems!!
Sincere thanks to Professor Tara Murphy and Dr. Simon Murphy !! Good on ya mates!! Please have a follow-on course!!
par Raghav M•
Its an amazing course. You will get an overview of data analysis techniques and how they are implemented in modern day astronomy. You will get hands-on experience dealing with astronomical data. You will learn how to use data to get physical results and how much data is important in developing an understanding of our Universe. The course is more focused on practical aspects of Astronomy.
par DEBASISH C S•
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.
par John C•
The course has been excellently structured for online learning. Each step builds on the next, and took me along a path where I learned new skills and knowledge that stuck. I was glad to see some of my old-school computing skills - doing memory space calculations in my head - are still relevant today.
Thoroughly recommend it for anyone with an interest in astronomy, and data processing
par Tara S•
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.
par Alan M•
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.
par Ruth P•
This course was absolutely fascinating, thank you so much! I especially enjoyed the discussions about actually thinking through the data instead of just jumping in with whatever tool or algorithm you normally use, loved the short astronomical overview pieces and their quizzes, and the bonus material - interviews of people working in the "real world" out there - was great.
par Kao K•
Great Course! The practice section on Grok platform is what makes it especially good, considering you don't really need to setup a programming environment on your own machine. Additionally, each module has a very interesting problem, that you dive into to create a working solution step-by-step to obtain a visible result, which is satisfying and encouraging to go further.
par Ondrej M•
I have enjoyed fully the whole course which helped me to connect my professional skills in coding and data analytics with my hobby - astronomy. The lectures were clear, very well understandable, motivated me to make my own research and the Grok platform is very well suited for getting the "hands on" experience. I also appreciate links to external tools and data sources.
par Nazarov A P•
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.