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

4.8
382 calificaciones
112 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.

JM

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!

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1 - 25 de 114 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 Pier-Francesco R

Jun 17, 2019

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

por Ujjwal J

Jun 13, 2019

best course i ve taken in coursera

por Rohit N

Jun 12, 2019

I'm loving it!

por Jiqing H

Jun 12, 2019

great course!

por Yasith R

Jun 10, 2019

Excellent course..

por Manoj J

May 30, 2019

This course is excellent for anyone who loves astronomy and is looking to working in the field .The concepts are conveyed effectively and the assignments are the most important aspects as they teach a lot more than the videos . Its was fun !!

por Ondrej M

May 17, 2019

I have enjoyed fully the whole course which helped me to connect my professional skills in coding and data analytics with my hobby - astronomy. The lectures were clear, very well understandable, motivated me to make my own research and the Grok platform is very well suited for getting the "hands on" experience. I also appreciate links to external tools and data sources.

por Francisco

May 15, 2019

Interesting introduction to machine-learning techniques applied to astronomical data. I think very adapted to astronomers willing to learn about this topic or to astronomy students.

por Peregrine D

May 13, 2019

A decent introductory course. The weeks follow themes and are not indicative of a suggested timeline.

por Lyle D

May 13, 2019

One of the best courses I have taken. The instructors are fantastic! This course is like a 500 page novel that you cannot put down and now you are on the last 10 pages. I do not want this course to end!! It was such pleasure to go through the videos and problems!!

Sincere thanks to Professor Tara Murphy and Dr. Simon Murphy !! Good on ya mates!! Please have a follow-on course!!

por p v k

May 12, 2019

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

por francisco

May 11, 2019

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

por Ananth S

Apr 24, 2019

Wonderful course and loved every bit of it. My only concern is that I would love to have some form of a certificate even though I can not afford to pay for the course.

por 唐怀金

Apr 23, 2019

very good

por Afiq A H

Apr 22, 2019

Good stuff. Thanks Coursera.

por Sara D

Apr 08, 2019

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

por Richard O

Apr 01, 2019

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

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 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 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 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 Behzad B A

Jan 27, 2019

Very professional, very productive

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!