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學生對 悉尼大学 提供的 Data-driven Astronomy 的評價和反饋

4.8
877 個評分
261 條評論

課程概述

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....

熱門審閱

SK

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.

HM

Sep 18, 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

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201 - Data-driven Astronomy 的 225 個評論(共 259 個)

創建者 Aditya N

Sep 23, 2019

Excellent. Learnt a lot of useful things

創建者 Leonel R

Feb 26, 2018

Great. Intensive Python. Very rewarding!

創建者 David B

Nov 02, 2017

Very enjoyable and at times challenging.

創建者 Mark M

Mar 18, 2019

Interesting, engaging and informative!

創建者 Rodrigo J

Aug 12, 2017

Fantastic and concise hands-on course!

創建者 Ayomal S

Sep 03, 2020

simply amazing and great explanation

創建者 Ernesto P

Sep 28, 2017

Great course and very good material

創建者 Amrit P S

Apr 27, 2020

Amazing course! great assignments.

創建者 Ujjwal J

Jun 13, 2019

best course i ve taken in coursera

創建者 Behzad B A

Jan 27, 2019

Very professional, very productive

創建者 Sachin V

Sep 29, 2019

extremely multidisciplinary!

創建者 Afiq A H

Apr 22, 2019

Good stuff. Thanks Coursera.

創建者 Luciano S

Jun 11, 2017

It was an amazing course!

創建者 Amit S

Aug 05, 2020

a very insightful course

創建者 Ulisses M C

May 17, 2018

The course is excellent.

創建者 hawzhin b

Aug 24, 2018

Very useful course ,

創建者 Sviatoslav S

Jan 06, 2018

Excellent course! =)

創建者 Yasith R

Jun 10, 2019

Excellent course..

創建者 Diego J M G

Jan 14, 2019

Muy recomendable

創建者 Syed Z R Z

Jan 18, 2020

Its gerearatttt

創建者 Rohit N

Jun 12, 2019

I'm loving it!

創建者 Jiqing H

Jun 12, 2019

great course!

創建者 Israel d S R d A

Feb 07, 2020

Very helpful

創建者 Renato T

Jul 31, 2020

Excellent!

創建者 唐怀金

Apr 23, 2019

very good