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Data-driven Astronomy に戻る

シドニー大学(The University of Sydney) による Data-driven Astronomy の受講者のレビューおよびフィードバック



Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools. The focus is on practical skills - all the activities will be done in Python 3, a modern programming language used throughout astronomy. Regardless of whether you’re already a scientist, studying to become one, or just interested in how modern astronomy works ‘under the bonnet’, this course will help you explore astronomy: from planets, to pulsars to black holes. Course outline: Week 1: Thinking about data - Principles of computational thinking - Discovering pulsars in radio images Week 2: Big data makes things slow - How to work out the time complexity of algorithms - Exploring the black holes at the centres of massive galaxies Week 3: Querying data using SQL - How to use databases to analyse your data - Investigating exoplanets in other solar systems Week 4: Managing your data - How to set up databases to manage your data - Exploring the lifecycle of stars in our Galaxy Week 5: Learning from data: regression - Using machine learning tools to investigate your data - Calculating the redshifts of distant galaxies Week 6: Learning from data: classification - Using machine learning tools to classify your data - Investigating different types of galaxies Each week will also have an interview with a data-driven astronomy expert. Note that some knowledge of Python is assumed, including variables, control structures, data structures, functions, and working with files....




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


Data-driven Astronomy: 251 - 275 / 345 レビュー

by Biswaraj P


An excellent course for those who love coding and cosmology.

by Ross N


Really Good. Learnt quite a lot actually for a small course.

by Muhammad B K


Must to do for students of astronomy and computer science.

by Krishna D


An excellent course to learn Python along with Astronomy.

by Ujwal K


Learnt so much more than I did in my data-analysis class

by Khalid Q


Probably the best MOOC course that is practical at best

by Blaye N


Excellent course both on data analysis and astronomy !

by RK


excellent course and more in-depth programming skills

by Pepe G


Challenging and very useful to applied data science.

by Anurag A


Unique course, very much excited to learn new things

by Chien N


W​onderful course. The materials are very engaging.

by Stephen G


Excellent course - Practical learning with realdata

by Harshita M


Great course got to learn many interesting things

by Kendrick A M


Very comprehensive and appropriately challenging!

by Дмитрий З


V​ery nice course! Thanks to the course team!

by Francisco J G R


G​reat course for learning applied astronomy!

by In A


Learned many new things and loved the course!

by Serhii M


This is an instructive and exciting course.

by Надежда


Thank you a lot for your work and course.

by William M


Excelent course!! I really learned a lot

by Aditya N


Excellent. Learnt a lot of useful things

by Leonel R


Great. Intensive Python. Very rewarding!

by David B


Very enjoyable and at times challenging.

by Mark M


Interesting, engaging and informative!

by Rodrigo J


Fantastic and concise hands-on course!