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Вернуться к Data-driven Astronomy

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

4.8
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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

SK

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.

MC

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:

226–250 из 345 отзывов о курсе Data-driven Astronomy

автор: Radha K M

19 мая 2020 г.

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

автор: Shrish

13 мар. 2020 г.

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

автор: Anand S

1 нояб. 2019 г.

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

автор: Trilobiet I

1 апр. 2019 г.

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

автор: Stavroula E

7 сент. 2018 г.

For anyone intrested in Astrostats & Astroinformatics, highly recommended!

автор: Miguel S G

24 мая 2018 г.

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

автор: sakib a

2 сент. 2020 г.

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

автор: Pablo C

22 авг. 2019 г.

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

автор: Kenneth V

23 мая 2022 г.

Very interesting introduction to Machine Learning. Not too difficult.

автор: Eugenio V R M

22 июля 2021 г.

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

автор: Cameron D K

25 янв. 2018 г.

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

автор: Prem

9 июня 2017 г.

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

автор: 2K19/CO/032 A R

5 дек. 2020 г.

excellent a cwonderful combination of machine learning and astronomy

автор: Peter S

7 дек. 2019 г.

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

автор: Michael L

25 апр. 2021 г.

Great course! Interesting information and well designed activities.

автор: Marco T

16 сент. 2019 г.

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

автор: Greg R

12 дек. 2019 г.

Excellent introduction to Data Science with an Astronomical focus.

автор: Sara D

8 апр. 2019 г.

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

автор: Daniel N

19 мар. 2019 г.

very good course, with clear technical explination and interesting

автор: Janus A

7 апр. 2020 г.

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

автор: Cooper P

28 сент. 2017 г.

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

автор: Barbara R

1 мар. 2021 г.

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

автор: Tatiana S

10 сент. 2019 г.

Excellent course. I enjoyed the programming assignments a lot.

автор: ZIHAN Z

23 авг. 2018 г.

A good intuition to using python to solve astronomy problems.

автор: Clovis G

21 июня 2021 г.

Excelent course! Thanks to instructors for this opportunity.