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

4.8
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923 Bewertungen
276 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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201 - 225 von 273 Bewertungen für Data-driven Astronomy

von Blaye N

22. Juli 2019

Excellent course both on data analysis and astronomy !

von Dr P R K

2. Nov. 2019

excellent course and more in-depth programming skills

von Pepe G

4. Nov. 2020

Challenging and very useful to applied data science.

von Anurag A

14. Sep. 2017

Unique course, very much excited to learn new things

von Stephen G

24. Sep. 2017

Excellent course - Practical learning with realdata

von Harshita M

23. Juli 2020

Great course got to learn many interesting things

von Kendrick A M

27. Feb. 2018

Very comprehensive and appropriately challenging!

von In A

15. Dez. 2019

Learned many new things and loved the course!

von Sergii M

19. März 2020

This is an instructive and exciting course.

von Надежда

13. Aug. 2017

Thank you a lot for your work and course.

von Aditya N

23. Sep. 2019

Excellent. Learnt a lot of useful things

von Leonel R

25. Feb. 2018

Great. Intensive Python. Very rewarding!

von David B

2. Nov. 2017

Very enjoyable and at times challenging.

von Mark M

18. März 2019

Interesting, engaging and informative!

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 Eric H

28. Okt. 2020

Very delicately designed course

von 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