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Avis et commentaires pour d'étudiants pour Data-driven Astronomy par Université de Sydney

1,175 évaluations
346 avis

À propos du cours

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....

Meilleurs avis


10 sept. 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.


28 févr. 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 sur 345 Avis pour Data-driven Astronomy


22 déc. 2018

Ultimate Course,A proper mixture of Data Science,Statistics,Machine learning and Astronomy.Loved it

par Kusha S

6 juin 2021

A​bsolutely Amazing course. Had a lot of fun doing the excersises and implementing the solutions.

par Abhas P

26 juin 2020

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

par Craig T

28 août 2018

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

par Ivet S M

15 juin 2018

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


23 mai 2022

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

par Adel B

27 mai 2020

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

par Thomas M

14 août 2019

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

par Denis D F

5 mai 2021

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

par Baibhav N

7 févr. 2021

Excellent course

Recommended for ml applications in astrophysics and astronomy

Simply class

par Gaston M S R

15 déc. 2017

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

par Dr. D S

5 oct. 2019

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

par Soham S

17 juil. 2018

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

par Akshay A S

22 janv. 2020

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

par aswathi a

18 avr. 2020


par Himadri S

18 avr. 2020

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

par hetpin

15 mars 2018

Highly recommended course for both astronomical and computer science students.

par Matthew P L

25 juin 2017

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

par Denis Z

9 juil. 2020

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

par Akshay A

10 sept. 2020

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

par antonio b

14 nov. 2019

Very good Seminar! Is there a second part?

Congratulations to the professors!

par Bruno A

15 avr. 2018

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

par Carlos E T H

5 mai 2020

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

par Carlos M S

24 mai 2017

A great course you may study if you are interested in Astronomy and Python!

par Abrar S

10 avr. 2022

One of the best courses that connect Astronomy and High Level Computation.