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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:

176–200 из 345 отзывов о курсе Data-driven Astronomy

автор: Timothy J N

16 апр. 2020 г.

This course really gave me an understanding of the methods of modern astronomy as well as the basics of working with data.

автор: Dhruv P

2 дек. 2019 г.

For the first time, I've learnt the application of programming languages in the field of Astronomy. A course worth taking.

автор: Jeremy J

24 июля 2020 г.

Clearly presented overview of necessary techniques in data wrangling with real world, astronomy sourced, coding examples.

автор: fouchereau r

15 янв. 2020 г.

Was a pleasure to take this course, It is well balanced between astronomical information and Machine Leargning concepts.

автор: Aayush K

1 июля 2017 г.

A great course that helps one understand the basics of data analysis and how they are used in observational astronomy.

автор: Carlos N

19 апр. 2018 г.

It's been a very interesting and enriching point of view of astronomy. I loved the way computing can help astronomy.

автор: Ted S

24 мая 2017 г.

I've been looking for a class like this for a while. Nice intro to python and accessing and manipulating astro data

автор: Steve B

19 июня 2018 г.

I used it to learn Python which made it more challenging but the content inspired me to get through it... excellent

автор: Diogo S

3 сент. 2017 г.

Astonishing course!

From Python basics to Scikit and the universe in a few weeks got smoother than I expected.

автор: Gonzalo B

7 авг. 2018 г.

A great introduction to Data-driven Astronomy and a good way for starting to learn Python by solving problems

автор: Ahammed A

9 мая 2018 г.

A great course for a good understanding of the tools and the theoretical requisites of data driven astronomy

автор: Christopher N

7 мая 2022 г.

Great content and exercises. I learned more about modern astronomy and techniques for working with big data.

автор: Ka W P N

1 февр. 2022 г.

A high quality course. You could learn not only Astronomy, but also practical application of Python and SQL.

автор: Ishita -

26 мар. 2020 г.

if you want to put some hands on the modern of doing observational astronomy, go for it. an amazing course .

автор: SHUBHAM K

20 июля 2019 г.

Great lectures, interactive coursework, and easy to understand yet overwhelmingly powerful concepts! Lovely!

автор: Martin R T

26 окт. 2020 г.

An amazing course that everyone interested in Astronomy and programming must take!! I highly recommend it!!

автор: Caden G

21 нояб. 2020 г.

Very relevant, topical material and some good actual hands-on practice with highly applicable techniques.

автор: John O

11 июля 2019 г.

Really interesting course.

I now need to make further study of the techniques introduced on this course.

автор: Omar R T C

25 янв. 2022 г.

Superb course. Learned a lot about astronomy, programming, algorithms, and the role of data in science.

автор: Daanish P

1 мая 2020 г.

wow, this course made my quarantine time :) thanks dr. tara and simon murphy for this beautiful course.

автор: Alexandra B

10 дек. 2021 г.

G​reat course! It covered a lot of relevant topics, but was still light, interesting, breezy and fun!

автор: Terence

15 мая 2020 г.

Very good module. I have learned a lot about how to analyze huge data by using computational skills.

автор: Daniel N H

19 сент. 2020 г.

Absolutely gorgeous! It has exceeded my expectations in so many levels that I can't even explain...

автор: Cecilia G

5 июля 2019 г.

Great course, does help to have a background in python so more time can be spent on the activities.

автор: p v k

12 мая 2019 г.

Outstanding presentation in making even a novice like me understand the fundamentals of the course.