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Opiniones y comentarios de aprendices correspondientes a Data-driven Astronomy por parte de Universidad de Sidney

4.8
469 calificaciones
143 revisiones

Acerca del Curso

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....

Principales revisiones

GM

Jun 30, 2017

Great course with a good balance of code and the rewards to be had from understanding how the code works - proved to be an excellent introduction to Astronomy and confidence builder in Python.

BF

Aug 11, 2019

Such a wonderful course. It had a very good mix of astronomy and computer science. The programming activities were especially good and the lectures were very informative. I highly recommend.

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1 - 25 de 140 revisiones para Data-driven Astronomy

por Ayush N

Oct 21, 2018

I finished this course today. If you want to learn advanced concepts like machine learning, decision tree classification, SQL, and more; then this is the course for you! I'm a senior in high school, and I'm going to major in Astrophysics. If you love Computer Science this will be an interesting course, as it will show the applications of CS to Astronomy.

por avinash

Jun 21, 2018

This is a well set course. I have completed one week and I loved blend of maths, astronomy and tools!Course content is not outdated, which is really important for a field like this.

por João P M

Jul 15, 2017

One of the best courses I've done on Coursera. Just enough astronomy to understand the problems, and then go into the exercises in a step by step way, building up complexity. Couldn't stop!

por SOURABH S

Dec 23, 2018

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

por Maciej K

Dec 11, 2018

Starting from the basics and going into ml - nice content :) iIloved the idea to solve more interresting problems, not only house-price-predict. I would like to see more of such courses in the future. Thank you :)

por Behzad B A

Jan 27, 2019

Very professional, very productive

por Josh C

Jan 03, 2019

This class is incredible and inspirational. I learned so many highly applicable skills and I am very glad to have taken this class in its entirety. Thank you!

por Richard E

Jan 04, 2019

I enjoyed this fusion of programming with Astronomy topics. Note that the exercises use the Python programming language (no substitutes permitted), fairly generic Structured Query Language (SQL) for databases, numpy (science math tools) Python library, scikit-learn (machine learning) Python library, and matplotlib (math & plotting) Python library.

I highly recommend this course, even if you are already experienced in a subset of the above.

Would be interesting: a 2nd more advanced course.

por Samrat M

Jan 16, 2019

The course was just epic. Anyone who wants to learn about the application of Machine Learning in the field of Astronomy , this course is a must. The activities will be like the instructor is sitting just by your side, and guiding you, which is what any beginner wants to start their journey. The course is just awesome.

por Abdul A

Jan 22, 2019

Excellent presentation and delivery method by the instructors and very good course content. Highly recommend it anyone curious about Universe and to understand it better!

por Atul N

Feb 09, 2019

What I liked about the course was the graded programming assignments, which help to introduce a person to machine learning techniques and other problems in astronomy data processing. Being a physics student by formal education and a star gazer too, I am familiar with the theory but was always curious about how to they measure distances, how do they measure red-shifts etc when the distant galaxies are themselves so faint. This course helped me understand these stuff....

por Juan M H

Jan 25, 2019

Besides being a Senior Developer, and Junior Data Scientist, I also am a Self Taught astronomer, and this course has given me a lot of knowledge and insights about astronomy, andways in which I can practice my self learning carrear in astronomy (and maybe astrophysics?) Awesome course! Highly recommended!

por Michael W

Mar 08, 2019

This is a very well organized, interesting, and, quite frankly, fun class. I especially liked being able to do hands-on exercises in Python.

por miguel a

Mar 09, 2019

Fue un excelente curso , me ayuda mucho para poder intentar el procesado de unos catalogos de galaxias en especial la parte del machine learning aplicado

por Daniel N

Mar 20, 2019

very good course, with clear technical explination and interesting

por Mark M

Mar 18, 2019

Interesting, engaging and informative!

por Diego J M G

Jan 14, 2019

Muy recomendable

por Gonzalo B

Aug 08, 2018

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

por Ross N

Aug 23, 2018

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

por ZHOU Z

Aug 23, 2018

A good intuition to using python to solve astronomy problems.

por hawzhin b

Aug 24, 2018

Very useful course ,

por Stavroula E

Sep 07, 2018

For anyone intrested in Astrostats & Astroinformatics, highly recommended!

por Santiago M Z O

Sep 08, 2018

Just finished this wonderful course, it teaches (mostly in Python) the basics of how to apply certain techniques of data handling, processing, and analysis, in the realm of Astronomy, which has vast amounts of collected data and which I've loved all my life as a hobbyist! This knowledge is very useful and can be extended to many other scientific fields. The course has a great mix of theory and hands-on exercises (with a great supporting online coding platform), and encourages people to continue reading and experimenting on their own.

por Sourabh D

Sep 25, 2018

Completed the course 2 days ago. It was an amazing experience of learning. I was overwhelmed by all practical examples and implementations. I would recommend this course to everyone in either astrophysics field.

por Erin D

Sep 30, 2018

Excellent. Teaching is thorough and concise, the quizzes and external coding problems are challenging enough but not overwhelming. A great course.