Chevron Left
Data-driven Astronomy に戻る

シドニー大学(The University of Sydney) による Data-driven Astronomy の受講者のレビューおよびフィードバック

4.8
676件の評価
207件のレビュー

コースについて

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....

人気のレビュー

MC

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

TS

Dec 15, 2019

This is a great course for anyone wanting to do data science with astronomical datasets. The lectures are clear and interesting and the activities are well structured. I really enjoyed this course!

フィルター:

Data-driven Astronomy: 151 - 175 / 204 レビュー

by Anurag A

Sep 14, 2017

Unique course, very much excited to learn new things

by Stephen G

Sep 24, 2017

Excellent course - Practical learning with realdata

by Kendrick A M

Feb 27, 2018

Very comprehensive and appropriately challenging!

by Abdul S

Dec 15, 2019

Learned many new things and loved the course!

by Sergii M

Mar 19, 2020

This is an instructive and exciting course.

by Надежда

Aug 13, 2017

Thank you a lot for your work and course.

by Aditya N

Sep 23, 2019

Excellent. Learnt a lot of useful things

by Leonel R

Feb 26, 2018

Great. Intensive Python. Very rewarding!

by David B

Nov 02, 2017

Very enjoyable and at times challenging.

by Mark M

Mar 18, 2019

Interesting, engaging and informative!

by Rodrigo J

Aug 12, 2017

Fantastic and concise hands-on course!

by Ernesto P

Sep 28, 2017

Great course and very good material

by Amrit P S

Apr 27, 2020

Amazing course! great assignments.

by Ujjwal J

Jun 13, 2019

best course i ve taken in coursera

by Behzad B A

Jan 27, 2019

Very professional, very productive

by Sachin V

Sep 29, 2019

extremely multidisciplinary!

by Afiq A H

Apr 22, 2019

Good stuff. Thanks Coursera.

by Luciano S

Jun 11, 2017

It was an amazing course!

by Ulisses M C

May 17, 2018

The course is excellent.

by hawzhin b

Aug 24, 2018

Very useful course ,

by Sviatoslav S

Jan 06, 2018

Excellent course! =)

by Yasith R

Jun 10, 2019

Excellent course..

by Diego J M G

Jan 14, 2019

Muy recomendable

by Syed Z R Z

Jan 18, 2020

Its gerearatttt

by Rohit N

Jun 12, 2019

I'm loving it!