Chevron Left
Retour à Data-driven Astronomy

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

4.8
étoiles
1,189 évaluations

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

SK

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.

MC

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 :

176 - 200 sur 348 Avis pour Data-driven Astronomy

par Abhijeet B

•

23 avr. 2020

par Timothy J N

•

16 avr. 2020

par Dhruv P

•

2 déc. 2019

par Jeremy J

•

24 juil. 2020

par fouchereau r

•

15 janv. 2020

par Aayush K

•

1 juil. 2017

par Carlos N

•

19 avr. 2018

par Ted S

•

24 mai 2017

par Steve B

•

19 juin 2018

par Diogo S

•

3 sept. 2017

par Gonzalo B

•

7 août 2018

par Ahammed A

•

9 mai 2018

par Christopher N

•

7 mai 2022

par Ka W P N

•

1 févr. 2022

par Ishita -

•

26 mars 2020

par SHUBHAM K

•

20 juil. 2019

par Martin R T

•

26 oct. 2020

par Caden G

•

21 nov. 2020

par John O

•

11 juil. 2019

par Omar R T C

•

25 janv. 2022

par Daanish P

•

1 mai 2020

par Alexandra B

•

10 déc. 2021

par Terence

•

15 mai 2020

par Daniel N H

•

19 sept. 2020

par Cecilia G

•

5 juil. 2019

Coursera Footer

Commencez ou faites progresser votre carrière

Parcourez les sujets populaires

Cours et articles populaires

Obtenez un diplôme ou un certificat en ligne

Coursera

Communauté

Plus

Apprendre partout
Placeholder
Placeholder
Placeholder