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
By Syed K H•
One of the interesting course and topic of coursera. Very informative, even you are not from this field, you will get lots of knowledge of this Astronomy.
By Miguel A•
Fue un excelente curso , me ayuda mucho para poder intentar el procesado de unos catalogos de galaxias en especial la parte del machine learning aplicado
By Xiaoping L•
It's awesome! the combination of lecture and coding-tast is a very brilliant mode. This is my first course I have ever finished in Coursera! Thanks!
By karthik s•
I really loved the content from this course. The information that was given in the course was at least from decades of research and its conclusions.
By Erin D•
Excellent. Teaching is thorough and concise, the quizzes and external coding problems are challenging enough but not overwhelming. A great course.
By Rian F J•
This course is very fun to work on. I like the platform they are using to practice coding. The videos are also very informative and interesting.
By Pierre B•
Great course to get an overview of the type of problems that astronomy faces and how to use data and machine learning techniques to solve them.
By Bojan D•
This is an excellent course. I would strongly recommend it to everyone who is interested in astronomy, machine learning, or computer science.
By Michael W•
This is a very well organized, interesting, and, quite frankly, fun class. I especially liked being able to do hands-on exercises in Python.
By Pedro d S Q•
I liked the way the lectures were presented, and each assignment help me in getting a better grasp on the subject we were learning about.
By Abhinuv N P•
Excellent course for astronomy enthusiasts with really useful and informative Python Assignments. One of the best MOOCs I have attended.
By Danilo S O•
Such an amazing course, one really learns so much, good methodology. All the assignments were very useful and instructors explain well.
By Pamela S P•
Curso con hartos contenidos interesantes y explicados de una manera simple y entendible. Me encantó el formato de programación que usa.
By Meghna D•
I really like how well-paced it is. it definitely is a good introductory course for someone who is interested in pursuing this field.
An exciting course towards data science is involved in other topics as Astronomy, and a glimpse on the techniques that are being use.
By Tony G•
Excellent course. One of the best I've taken. Love that real data sets were used to illustrate the concepts. Highly recommended.
By Gaureesh C•
Great course for Astronomy enthusiasts as well as for people looking to improve coding skills in python, sql and machine learning.
By Pier-Francesco R•
It's a good start point if we want to understand actual astronomy and the analysis of new big surveys like SDSS or the next LSST
By John A•
An excellent introduction to the uses and benefits of data science in Astronomy, using real world examples. I really enjoyed it
By Marco P•
Great course and a great opportunity to learn about data analysis, classification of galaxies and astronomy. Very inspiring.
By Abhijeet B•
Excellent course designed to provide a good introduction to data analysis in astronomy with plenty of hands on excercises.
By Timothy J N•
This course really gave me an understanding of the methods of modern astronomy as well as the basics of working with data.
By Dhruv P•
For the first time, I've learnt the application of programming languages in the field of Astronomy. A course worth taking.
By Jeremy J•
Clearly presented overview of necessary techniques in data wrangling with real world, astronomy sourced, coding examples.
By fouchereau r•
Was a pleasure to take this course, It is well balanced between astronomical information and Machine Leargning concepts.