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Learner Reviews & Feedback for Data-driven Astronomy by The University of Sydney

1,341 ratings

About the Course

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....

Top reviews


Sep 17, 2020

Very Nice course, materials well explained though the programming exercises were very difficult for me, as I did not had that much in depth knowledge of python, for which I had to take additional help


Sep 10, 2020

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.

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251 - 275 of 383 Reviews for Data-driven Astronomy

By Shrish

Mar 13, 2020

This was a wonderful course. Got an overall idea of data-driven astronomy.

By Anand S

Nov 1, 2019

well designed and easy to follow course for beginners. thoroughly enjoyed!

By Trilobiet I

Apr 1, 2019

Perfect to brush up my Python skills while studying a fascinating subject!

By Stavroula E

Sep 7, 2018

For anyone intrested in Astrostats & Astroinformatics, highly recommended!

By Miguel S G

May 24, 2018

Very well driven course! Step by step you will learn it very progresively

By saeed m

Aug 7, 2023

Great course for people who interested in analysis of astronomical data.


Apr 17, 2023

If your interest on astronomical data science then this course for you.

By sakib a

Sep 2, 2020

A top-class course! Feels great to work with real-world astronomy data.

By Pablo C

Aug 22, 2019

Thats was a lot of fun! i want to learn more! Can i have a second part?

By Kenneth V

May 23, 2022

Very interesting introduction to Machine Learning. Not too difficult.

By Eugenio V R M

Jul 22, 2021

Very interesting, fascinating storytelling, and many things to learn!

By Cameron D K

Jan 25, 2018

Great course! Learned a great deal even though I'm not an astronomer.

By Prem

Jun 9, 2017

Great course !! really enjoyed learning astronomy with data science..

By AdityaRaj 2

Dec 5, 2020

excellent a cwonderful combination of machine learning and astronomy

By Peter S

Dec 7, 2019

Excellent course, broad as well as deep and good reference material.

By Michael L

Apr 25, 2021

Great course! Interesting information and well designed activities.

By Marco T

Sep 16, 2019

Very well made, informative and hand-on the right amount! Loved it!

By Greg R

Dec 12, 2019

Excellent introduction to Data Science with an Astronomical focus.

By Sara D

Apr 8, 2019

Fantastic! I learned a lot. The exercises were really interesting!

By Daniel N

Mar 19, 2019

very good course, with clear technical explination and interesting

By Janus A

Apr 7, 2020

Cool! I like the way it goes from databases to machine learning.

By Cooper P

Sep 28, 2017

I have a profound admiration for this course and its professors.

By Barbara R

Mar 1, 2021

Loved it! It was fun to solve the problems and learn from them.

By Tatiana S

Sep 10, 2019

Excellent course. I enjoyed the programming assignments a lot.


Aug 23, 2018

A good intuition to using python to solve astronomy problems.