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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

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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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251 - 275 of 386 Reviews for Data-driven Astronomy

By Radha K M

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May 19, 2020

Its awesome course with the use of practical astronomical data handling...

By Shrish

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Mar 13, 2020

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

By Anand S

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Nov 1, 2019

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

By Trilobiet I

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Apr 1, 2019

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

By Stavroula E

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Sep 7, 2018

For anyone intrested in Astrostats & Astroinformatics, highly recommended!

By Miguel S G

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May 24, 2018

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

By saeed m

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Aug 7, 2023

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

By SANDEEP A

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Apr 17, 2023

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

By sakib a

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Sep 2, 2020

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

By Pablo C

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Aug 22, 2019

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

By Kenneth V

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May 23, 2022

Very interesting introduction to Machine Learning. Not too difficult.

By Eugenio V R M

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Jul 22, 2021

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

By Cameron D K

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Jan 25, 2018

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

By Prem

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Jun 9, 2017

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

By AdityaRaj 2

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Dec 5, 2020

excellent a cwonderful combination of machine learning and astronomy

By Peter S

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Dec 7, 2019

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

By Michael L

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Apr 25, 2021

Great course! Interesting information and well designed activities.

By Marco T

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Sep 16, 2019

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

By Greg R

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Dec 12, 2019

Excellent introduction to Data Science with an Astronomical focus.

By Sara D

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Apr 8, 2019

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

By Daniel N

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Mar 19, 2019

very good course, with clear technical explination and interesting

By Janus A

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Apr 7, 2020

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

By Cooper P

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Sep 28, 2017

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

By Barbara R

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Mar 1, 2021

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

By Tatiana S

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Sep 10, 2019

Excellent course. I enjoyed the programming assignments a lot.