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

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1,066 Bewertungen
314 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

SK
10. Sep. 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. Feb. 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 von 312 Bewertungen für Data-driven Astronomy

von Rodrigo J

12. Aug. 2017

Fantastic and concise hands-on course!

von Ayomal S

3. Sep. 2020

simply amazing and great explanation

von Ernesto P

28. Sep. 2017

Great course and very good material

von Amrit P S

27. Apr. 2020

Amazing course! great assignments.

von Ujjwal J

13. Juni 2019

best course i ve taken in coursera

von Behzad B A

27. Jan. 2019

Very professional, very productive

von Kiran B

11. März 2021

Very practical and hands on.

von T.S.Sachin V

29. Sep. 2019

extremely multidisciplinary!

von Afiq A H

22. Apr. 2019

Good stuff. Thanks Coursera.

von Luciano S

10. Juni 2017

It was an amazing course!

von Amit S

5. Aug. 2020

a very insightful course

von Ulisses M C

17. Mai 2018

The course is excellent.

von Winston A W

19. Okt. 2020

Excellent, than you.

von hawzhin b

23. Aug. 2018

Very useful course ,

von Святослав С

6. Jan. 2018

Excellent course! =)

von Vitthal S

8. Sep. 2021

Exceptional course

von Yasith R

9. Juni 2019

Excellent course..

von RAED B C

15. Okt. 2020

Great cours *****

von Diego J M G

14. Jan. 2019

Muy recomendable

von Syed Z R Z

18. Jan. 2020

Its gerearatttt

von Rohit N

11. Juni 2019

I'm loving it!

von Jiqing H

11. Juni 2019

great course!

von Israel d S R d A

7. Feb. 2020

Very helpful

von Renato T

31. Juli 2020

Excellent!

von 唐怀金

23. Apr. 2019

very good