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學生對 悉尼大学 提供的 Data-driven Astronomy 的評價和反饋

1,013 個評分
305 條評論


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....



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.


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


151 - Data-driven Astronomy 的 175 個評論(共 302 個)

創建者 Meghna D


I really like how well-paced it is. it definitely is a good introductory course for someone who is interested in pursuing this field.

創建者 francisco


An exciting course towards data science is involved in other topics as Astronomy, and a glimpse on the techniques that are being use.

創建者 Tony G


Excellent course. One of the best I've taken. Love that real data sets were used to illustrate the concepts. Highly recommended.

創建者 Gaureesh C


Great course for Astronomy enthusiasts as well as for people looking to improve coding skills in python, sql and machine learning.

創建者 Pier-Francesco R


It's a good start point if we want to understand actual astronomy and the analysis of new big surveys like SDSS or the next LSST

創建者 John A


An excellent introduction to the uses and benefits of data science in Astronomy, using real world examples. I really enjoyed it

創建者 Marco P


Great course and a great opportunity to learn about data analysis, classification of galaxies and astronomy. Very inspiring.

創建者 Abhijeet B


Excellent course designed to provide a good introduction to data analysis in astronomy with plenty of hands on excercises.

創建者 Timothy J N


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

創建者 Dhruv P


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

創建者 Jeremy J


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

創建者 fouchereau r


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

創建者 Aayush


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

創建者 Carlos N


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

創建者 Ted S


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

創建者 Steve B


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

創建者 Diogo S


Astonishing course!

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

創建者 Gonzalo B


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

創建者 Ahammed A


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

創建者 Ishita -


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



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

創建者 Martin R T


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

創建者 Caden G


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

創建者 John O


Really interesting course.

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

創建者 Daanish P


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