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

1,245 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


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

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251 - 275 sur 361 Avis pour Data-driven 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!

par Gregory L R

12 déc. 2019

Excellent introduction to Data Science with an Astronomical focus.

par Sara D

8 avr. 2019

Fantastic! I learned a lot. The exercises were really interesting!

par Daniel N

19 mars 2019

very good course, with clear technical explination and interesting

par Janus A

7 avr. 2020

Cool! I like the way it goes from databases to machine learning.

par Cooper P

28 sept. 2017

I have a profound admiration for this course and its professors.

par Barbara R

1 mars 2021

Loved it! It was fun to solve the problems and learn from them.

par Tatiana S

10 sept. 2019

Excellent course. I enjoyed the programming assignments a lot.


23 août 2018

A good intuition to using python to solve astronomy problems.

par Clovis G

21 juin 2021

Excelent course! Thanks to instructors for this opportunity.

par Biswaraj P

18 mai 2021

An excellent course for those who love coding and cosmology.

par Ross N

23 août 2018

Really Good. Learnt quite a lot actually for a small course.

par Muhammad B K

5 nov. 2019

Must to do for students of astronomy and computer science.

par Krishna D

10 déc. 2021

An excellent course to learn Python along with 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 Dr P R K

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 anuragg a

14 sept. 2017

Unique course, very much excited to learn new things

par Chien N

22 juin 2021

Wonderful course. The materials are very engaging.

par Stephen G

24 sept. 2017

Excellent course - Practical learning with realdata

par Hugh K

14 oct. 2022

Excellent course, well done to Tara and the team.