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Opiniones y comentarios de aprendices correspondientes a Data-driven Astronomy por parte de Universidad de Sidney

898 calificaciones
268 reseña

Acerca del Curso

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....

Principales reseñas


Sep 11, 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.


Feb 29, 2020

Its been amazing to learn about the celestial objects, stars, galaxies. The lectures and quizzes spurred in me to explore new material online. Great hands on exercises in python and machine learning

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201 - 225 de 268 revisiones para Data-driven Astronomy

por Stephen G

Sep 24, 2017

Excellent course - Practical learning with realdata

por Harshita M

Jul 23, 2020

Great course got to learn many interesting things

por Kendrick A M

Feb 27, 2018

Very comprehensive and appropriately challenging!

por In A

Dec 15, 2019

Learned many new things and loved the course!

por Sergii M

Mar 19, 2020

This is an instructive and exciting course.

por Надежда

Aug 13, 2017

Thank you a lot for your work and course.

por Aditya N

Sep 23, 2019

Excellent. Learnt a lot of useful things

por Leonel R

Feb 26, 2018

Great. Intensive Python. Very rewarding!

por David B

Nov 02, 2017

Very enjoyable and at times challenging.

por Mark M

Mar 18, 2019

Interesting, engaging and informative!

por Rodrigo J

Aug 12, 2017

Fantastic and concise hands-on course!

por Ayomal S

Sep 03, 2020

simply amazing and great explanation

por Ernesto P

Sep 28, 2017

Great course and very good material

por Amrit P S

Apr 27, 2020

Amazing course! great assignments.

por Ujjwal J

Jun 13, 2019

best course i ve taken in coursera

por Behzad B A

Jan 27, 2019

Very professional, very productive

por Sachin V

Sep 29, 2019

extremely multidisciplinary!

por Afiq A H

Apr 22, 2019

Good stuff. Thanks Coursera.

por Luciano S

Jun 11, 2017

It was an amazing course!

por Amit S

Aug 05, 2020

a very insightful course

por Ulisses M C

May 17, 2018

The course is excellent.

por Winston A W

Oct 19, 2020

Excellent, than you.

por hawzhin b

Aug 24, 2018

Very useful course ,

por Sviatoslav S

Jan 06, 2018

Excellent course! =)

por Yasith R

Jun 10, 2019

Excellent course..