Chevron Left
Back to Data-driven Astronomy

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

4.8
stars
1,379 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

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

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.

Filter by:

226 - 250 of 394 Reviews for Data-driven Astronomy

By Kusha S

•

Jun 6, 2021

Absolutely Amazing course. Had a lot of fun doing the excersises and implementing the solutions.

By Abhas P

•

Jun 26, 2020

Only complaint, there should be an option to save the codes we have written. Even in text format.

By Craig T

•

Aug 28, 2018

Really good basic intro to data analysis, particularly applying this to the astronomical domain.

By Ivet S M

•

Jun 15, 2018

I've enjoyed a lot this course. I've learnt a lot of things and I would recommend it to everyone

By Muzammil M

•

May 23, 2022

Very good course, lot to learn about Astronomical Data Analysis. Highly Recommend to others

By Adel B

•

May 27, 2020

Pretty good introductory course for applied data science on astronomy. Overall captivating!

By Thomas M

•

Aug 14, 2019

Excellent course. One of the best things I learned is that I need to learn statistics now.

By Denis D F

•

May 5, 2021

Great course! It gives a good introduction to how big data is managed in modern astronomy

By Baibhav N

•

Feb 7, 2021

Excellent course

Recommended for ml applications in astrophysics and astronomy

Simply class

By Gaston M S R

•

Dec 15, 2017

Excellent overall Course, fantastic content, teachers and organization. We need more!!!!

By Dr. D S

•

Oct 5, 2019

Excellent introduction into the astronomical exploration using the methods of big data

By Harshvardhan A

•

Mar 26, 2023

Awesome course to learn about the statistical approach to astronomy and astrophysics.

By Soham S

•

Jul 17, 2018

A very good introductory course on the applications of machine learning in astronomy.

By Georgy M

•

Mar 1, 2023

Extremely valuable course with advanced Numpy, SQL refresher, and broad cover of ML.

By Akshay A S

•

Jan 22, 2020

Thorough learning opportunity, interesting design, interactive program, smart tests.

By aswathi a

•

Apr 18, 2020

THE COURSE WAS REALLY VERY HELPFUL FOR ME. IN MY STUDIES IT REALLY HELPED ME A LOT.

By Himadri S

•

Apr 18, 2020

Excellent course. Had real fun doing the assignments. Learned up a lot. Thank you

By hetpin

•

Mar 15, 2018

Highly recommended course for both astronomical and computer science students.

By Matt L

•

Jun 25, 2017

Astronomy, Python, and SQL ... like all my favorite friends in the same place!

By Denis Z

•

Jul 9, 2020

That was a great decision to take this course! Very educative and empowering!

By Akshay A

•

Sep 10, 2020

This is an amazing course for beginners in both coding as well as astronomy!

By antonio b

•

Nov 14, 2019

Very good Seminar! Is there a second part?

Congratulations to the professors!

By Bruno S A

•

Apr 15, 2018

Very good course, with a very good platform for practice the lessons (Grok).

By Andrew H

•

Jan 16, 2023

Excellent course giving a great introduction to computational astrophysics.

By Carlos E T H

•

May 5, 2020

Very interesting topic. Well paced explanations. Really enjoyed the course.