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

4.8
stars
1,351 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

M

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Data-driven Astronomy is an amazing course which will help you to acquire a good knowledge in Astronomy and Data Science with their applications. Hope all the people will enjoy it.

TS

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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!

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376 - 386 of 386 Reviews for Data-driven Astronomy

By Harsh T

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Apr 8, 2020

It has been a fantastic journey of Astronomy with actual data and coding.

By Jordi G P

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Dec 10, 2018

Pretty good introduction to both Big Data treatment and modern astronomy!

By Enrique J E B

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Sep 8, 2019

Nice introduction to machine learning using an interesting topic.

By Antariksha M

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Sep 10, 2019

Great Learning

By José A T D

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Aug 1, 2022

The couse is interesting to practice python but not for learling astronomy or data science.

By Deepak A K

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Jul 21, 2023

I just felt some of the concepts should have been explained more extensively

By Youssef H

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Jul 2, 2024

very low assignments workshop, but very useful content

By Robert N

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Nov 25, 2017

Sorry, but this course was one of the weakest I have followed.

By Stephen C

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Apr 18, 2022

insufficient guidance for me in python exercises - unable to progress

By Shalini s

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Jun 17, 2020

actually i wrongly pressed this course and its not unenrolling

By Soumik P

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Jun 13, 2024

poor