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

4.8
étoiles
1,111 évaluations
322 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

SK
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.

MC
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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251 - 275 sur 320 Avis pour Data-driven Astronomy

par Надежда

13 août 2017

Thank you a lot for your work and course.

par William M

17 sept. 2021

Excelent course!! I really learned a lot

par Aditya N

23 sept. 2019

Excellent. Learnt a lot of useful things

par Leonel R

25 févr. 2018

Great. Intensive Python. Very rewarding!

par David B

2 nov. 2017

Very enjoyable and at times challenging.

par Mark M

18 mars 2019

Interesting, engaging and informative!

par Rodrigo J

12 août 2017

Fantastic and concise hands-on course!

par Ayomal S

3 sept. 2020

simply amazing and great explanation

par Ernesto P

28 sept. 2017

Great course and very good material

par Amrit P S

27 avr. 2020

Amazing course! great assignments.

par Ujjwal J

13 juin 2019

best course i ve taken in coursera

par Behzad B A

27 janv. 2019

Very professional, very productive

par Kiran B

11 mars 2021

Very practical and hands on.

par 2K18/EP/084 T V

29 sept. 2019

extremely multidisciplinary!

par Afiq A H

22 avr. 2019

Good stuff. Thanks Coursera.

par sebastien d

23 sept. 2021

très enrichissant, merci !

par Luciano S

10 juin 2017

It was an amazing course!

par Amit S

5 août 2020

a very insightful course

par Ulisses M C

17 mai 2018

The course is excellent.

par Winston A W

19 oct. 2020

Excellent, than you.

par hawzhin b

23 août 2018

Very useful course ,

par Святослав С

6 janv. 2018

Excellent course! =)

par Vitthal S

8 sept. 2021

Exceptional course

par Yasith R

9 juin 2019

Excellent course..

par RAED B C

15 oct. 2020

Great cours *****