Chevron Left
Zurück zu Data-driven Astronomy

Kursteilnehmer-Bewertung und -Feedback für Data-driven Astronomy von The University of Sydney

4.8
Sterne
869 Bewertungen
258 Bewertungen

Über den Kurs

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....

Top-Bewertungen

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

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.

Filtern nach:

201 - 225 von 258 Bewertungen für Data-driven Astronomy

von Leonel R

Feb 26, 2018

Great. Intensive Python. Very rewarding!

von David B

Nov 02, 2017

Very enjoyable and at times challenging.

von Mark M

Mar 18, 2019

Interesting, engaging and informative!

von Rodrigo J

Aug 12, 2017

Fantastic and concise hands-on course!

von Ayomal S

Sep 03, 2020

simply amazing and great explanation

von Ernesto P

Sep 28, 2017

Great course and very good material

von Amrit P S

Apr 27, 2020

Amazing course! great assignments.

von Ujjwal J

Jun 13, 2019

best course i ve taken in coursera

von Behzad B A

Jan 27, 2019

Very professional, very productive

von Sachin V

Sep 29, 2019

extremely multidisciplinary!

von Afiq A H

Apr 22, 2019

Good stuff. Thanks Coursera.

von Luciano S

Jun 11, 2017

It was an amazing course!

von Amit S

Aug 05, 2020

a very insightful course

von Ulisses M C

May 17, 2018

The course is excellent.

von hawzhin b

Aug 24, 2018

Very useful course ,

von Sviatoslav S

Jan 06, 2018

Excellent course! =)

von Yasith R

Jun 10, 2019

Excellent course..

von Diego J M G

Jan 14, 2019

Muy recomendable

von Syed Z R Z

Jan 18, 2020

Its gerearatttt

von Rohit N

Jun 12, 2019

I'm loving it!

von Jiqing H

Jun 12, 2019

great course!

von Israel d S R d A

Feb 07, 2020

Very helpful

von Renato T

Jul 31, 2020

Excellent!

von 唐怀金

Apr 23, 2019

very good

von Kristina I

Apr 19, 2017

Excellent