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

4.8
stars
1,382 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

SK

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.

DA

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

Filter by:

276 - 300 of 395 Reviews for Data-driven Astronomy

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.

By ZIHAN Z

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Aug 23, 2018

A good intuition to using python to solve astronomy problems.

By Ayush C

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Aug 2, 2024

It is a very well-explained course with rigorous challenges.

By Clovis G

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Jun 21, 2021

Excelent course! Thanks to instructors for this opportunity.

By Biswaraj P

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May 18, 2021

An excellent course for those who love coding and cosmology.

By Ross N

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Aug 23, 2018

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

By Muhammad B K

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Nov 5, 2019

Must to do for students of astronomy and computer science.

By Krishna D

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Dec 10, 2021

An excellent course to learn Python along with Astronomy.

By Jherson M H

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Jan 20, 2024

Exceptionally. I have learn a lot thanks to this course.

By Ujwal K

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Jun 18, 2020

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

By Khalid M

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Jul 25, 2020

Probably the best MOOC course that is practical at best

By Blaye N

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Jul 22, 2019

Excellent course both on data analysis and astronomy !

By RK

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Nov 2, 2019

excellent course and more in-depth programming skills

By Pepe G

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Nov 4, 2020

Challenging and very useful to applied data science.

By anuragg a

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Sep 14, 2017

Unique course, very much excited to learn new things

By Chien N

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Jun 22, 2021

Wonderful course. The materials are very engaging.

By Stephen G

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Sep 24, 2017

Excellent course - Practical learning with realdata

By Hugh K

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Oct 14, 2022

Excellent course, well done to Tara and the team.

By Harshita M

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Jul 23, 2020

Great course got to learn many interesting things

By Kendrick M

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Feb 27, 2018

Very comprehensive and appropriately challenging!