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

4.8
étoiles
1,156 évaluations
340 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

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

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251 - 275 sur 339 Avis pour Data-driven Astronomy

par Ujwal K

18 juin 2020

Learnt so much more than I did in my data-analysis class

par Khalid Q

25 juil. 2020

Probably the best MOOC course that is practical at best

par Blaye N

22 juil. 2019

Excellent course both on data analysis and astronomy !

par RK

2 nov. 2019

excellent course and more in-depth programming skills

par Pepe G

4 nov. 2020

Challenging and very useful to applied data science.

par Anurag A

14 sept. 2017

Unique course, very much excited to learn new things

par Chien N

22 juin 2021

W​onderful course. The materials are very engaging.

par Stephen G

24 sept. 2017

Excellent course - Practical learning with realdata

par Harshita M

23 juil. 2020

Great course got to learn many interesting things

par Kendrick A M

27 févr. 2018

Very comprehensive and appropriately challenging!

par Дмитрий З

7 févr. 2022

V​ery nice course! Thanks to the course team!

par Francisco J G R

25 juil. 2021

G​reat course for learning applied astronomy!

par In A

15 déc. 2019

Learned many new things and loved the course!

par Serhii M

19 mars 2020

This is an instructive and exciting course.

par Надежда

13 août 2017

Thank you a lot for your work and course.

par William M

17 sept. 2021

Excelent course!! I really learned a lot

par Aditya N

23 sept. 2019

Excellent. Learnt a lot of useful things

par Leonel R

25 févr. 2018

Great. Intensive Python. Very rewarding!

par David B

2 nov. 2017

Very enjoyable and at times challenging.

par Mark M

18 mars 2019

Interesting, engaging and informative!

par Rodrigo J

12 août 2017

Fantastic and concise hands-on course!

par Ayomal S

3 sept. 2020

simply amazing and great explanation

par Ernesto P

28 sept. 2017

Great course and very good material

par Amrit P S

27 avr. 2020

Amazing course! great assignments.

par Ujjwal J

13 juin 2019

best course i ve taken in coursera