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Data-driven Astronomy(으)로 돌아가기

시드니 대학교의 Data-driven Astronomy 학습자 리뷰 및 피드백

4.8
별점
1,178개의 평가

강좌 소개

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....

최상위 리뷰

SK

2020년 9월 10일

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

2020년 2월 28일

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

필터링 기준:

Data-driven Astronomy의 346개 리뷰 중 226~250

교육 기관: Abrar S

2022년 4월 10일

One of the best courses that connect Astronomy and High Level Computation.

교육 기관: Radha K M

2020년 5월 19일

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

교육 기관: Shrish

2020년 3월 13일

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

교육 기관: Anand S

2019년 11월 1일

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

교육 기관: Trilobiet I

2019년 4월 1일

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

교육 기관: Stavroula E

2018년 9월 7일

For anyone intrested in Astrostats & Astroinformatics, highly recommended!

교육 기관: Miguel S G

2018년 5월 24일

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

교육 기관: sakib a

2020년 9월 2일

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

교육 기관: Pablo C

2019년 8월 22일

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

교육 기관: Kenneth V

2022년 5월 23일

Very interesting introduction to Machine Learning. Not too difficult.

교육 기관: Eugenio V R M

2021년 7월 22일

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

교육 기관: Cameron D K

2018년 1월 25일

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

교육 기관: Prem

2017년 6월 9일

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

교육 기관: 2K19/CO/032 A R

2020년 12월 5일

excellent a cwonderful combination of machine learning and astronomy

교육 기관: Peter S

2019년 12월 7일

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

교육 기관: Michael L

2021년 4월 25일

Great course! Interesting information and well designed activities.

교육 기관: Marco T

2019년 9월 16일

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

교육 기관: Greg R

2019년 12월 12일

Excellent introduction to Data Science with an Astronomical focus.

교육 기관: Sara D

2019년 4월 8일

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

교육 기관: Daniel N

2019년 3월 19일

very good course, with clear technical explination and interesting

교육 기관: Janus A

2020년 4월 7일

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

교육 기관: Cooper P

2017년 9월 28일

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

교육 기관: Barbara R

2021년 3월 1일

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

교육 기관: Tatiana S

2019년 9월 10일

Excellent course. I enjoyed the programming assignments a lot.

교육 기관: ZIHAN Z

2018년 8월 23일

A good intuition to using python to solve astronomy problems.