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Вернуться к Data-driven Astronomy

Отзывы учащихся о курсе Data-driven Astronomy от партнера Сиднейский университет

Оценки: 1,178

О курсе

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....

Лучшие рецензии


10 сент. 2020 г.

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 февр. 2020 г.

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

Фильтр по:

201–225 из 345 отзывов о курсе Data-driven Astronomy

автор: Sourabh

22 дек. 2018 г.

Ultimate Course,A proper mixture of Data Science,Statistics,Machine learning and Astronomy.Loved it

автор: Kusha S

6 июня 2021 г.

A​bsolutely Amazing course. Had a lot of fun doing the excersises and implementing the solutions.

автор: Abhas P

26 июня 2020 г.

Only complaint, there should be an option to save the codes we have written. Even in text format.

автор: Craig T

28 авг. 2018 г.

Really good basic intro to data analysis, particularly applying this to the astronomical domain.

автор: Ivet S M

15 июня 2018 г.

I've enjoyed a lot this course. I've learnt a lot of things and I would recommend it to everyone


23 мая 2022 г.

Very good course, lot to learn about Astronomical Data Analysis. Highly Recommend to others

автор: Adel B

27 мая 2020 г.

Pretty good introductory course for applied data science on astronomy. Overall captivating!

автор: Thomas M

14 авг. 2019 г.

Excellent course. One of the best things I learned is that I need to learn statistics now.

автор: Denis D F

5 мая 2021 г.

Great course! It gives a good introduction to how big data is managed in modern astronomy

автор: Baibhav N

7 февр. 2021 г.

Excellent course

Recommended for ml applications in astrophysics and astronomy

Simply class

автор: Gaston M S R

15 дек. 2017 г.

Excellent overall Course, fantastic content, teachers and organization. We need more!!!!

автор: Dr. D S

5 окт. 2019 г.

Excellent introduction into the astronomical exploration using the methods of big data

автор: Soham S

17 июля 2018 г.

A very good introductory course on the applications of machine learning in astronomy.

автор: Akshay A S

22 янв. 2020 г.

Thorough learning opportunity, interesting design, interactive program, smart tests.

автор: aswathi a

18 апр. 2020 г.


автор: Himadri S

18 апр. 2020 г.

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

автор: hetpin

15 мар. 2018 г.

Highly recommended course for both astronomical and computer science students.

автор: Matthew P L

25 июня 2017 г.

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

автор: Denis Z

9 июля 2020 г.

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

автор: Akshay A

10 сент. 2020 г.

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

автор: antonio b

14 нояб. 2019 г.

Very good Seminar! Is there a second part?

Congratulations to the professors!

автор: Bruno A

15 апр. 2018 г.

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

автор: Carlos E T H

5 мая 2020 г.

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

автор: Carlos M S

24 мая 2017 г.

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

автор: Abrar S

10 апр. 2022 г.

One of the best courses that connect Astronomy and High Level Computation.