Chevron Left
Retour à Data-driven Astronomy

Avis et commentaires pour d'étudiants pour Data-driven Astronomy par Université de Sydney

1,113 évaluations
323 avis

À propos du cours

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....

Meilleurs avis

10 sept. 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.

28 févr. 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

Filtrer par :

201 - 225 sur 321 Avis pour Data-driven Astronomy

par aswathi a

18 avr. 2020


par Himadri S

18 avr. 2020

Excellent course. Had real fun doing the assignments. Learned up a lot. Thank you

par hetpin

15 mars 2018

Highly recommended course for both astronomical and computer science students.

par Matthew P L

25 juin 2017

Astronomy, Python, and SQL ... like all my favorite friends in the same place!

par Denis Z

9 juil. 2020

That was a great decision to take this course! Very educative and empowering!

par Akshay A

10 sept. 2020

This is an amazing course for beginners in both coding as well as astronomy!

par antonio b

14 nov. 2019

Very good Seminar! Is there a second part?

Congratulations to the professors!

par Bruno A

15 avr. 2018

Very good course, with a very good platform for practice the lessons (Grok).

par Carlos E T H

5 mai 2020

Very interesting topic. Well paced explanations. Really enjoyed the course.

par Carlos M S

24 mai 2017

A great course you may study if you are interested in Astronomy and Python!

par Radha K M

19 mai 2020

Its awesome course with the use of practical astronomical data handling...

par Shrish

13 mars 2020

This was a wonderful course. Got an overall idea of data-driven astronomy.

par Anand S

1 nov. 2019

well designed and easy to follow course for beginners. thoroughly enjoyed!

par Trilobiet I

1 avr. 2019

Perfect to brush up my Python skills while studying a fascinating subject!

par stavroula e

7 sept. 2018

For anyone intrested in Astrostats & Astroinformatics, highly recommended!

par Miguel S G

24 mai 2018

Very well driven course! Step by step you will learn it very progresively

par sakib a

2 sept. 2020

A top-class course! Feels great to work with real-world astronomy data.

par Pablo C

22 août 2019

Thats was a lot of fun! i want to learn more! Can i have a second part?

par Eugenio V R M

22 juil. 2021

Very interesting, fascinating storytelling, and many things to learn!

par Cameron D K

25 janv. 2018

Great course! Learned a great deal even though I'm not an astronomer.

par Prem

9 juin 2017

Great course !! really enjoyed learning astronomy with data science..

par AdityaRaj 2

5 déc. 2020

excellent a cwonderful combination of machine learning and astronomy

par Peter S

7 déc. 2019

Excellent course, broad as well as deep and good reference material.

par Michael L

25 avr. 2021

Great course! Interesting information and well designed activities.

par Marco T

16 sept. 2019

Very well made, informative and hand-on the right amount! Loved it!