About this Course
4.9
293 ratings
88 reviews
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 20 hours to complete

Suggested: 6 weeks of study, 4-6 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

Python ProgrammingMachine LearningApplied Machine LearningSQL
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 20 hours to complete

Suggested: 6 weeks of study, 4-6 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
4 hours to complete

Thinking about data

This module introduces the idea of computational thinking, and how big data can make simple problems quite challenging to solve. We use the example of calculating the median and mean stack of a set of radio astronomy images to illustrate some of the issues you encounter when working with large datasets. ...
Reading
8 videos (Total 30 min), 1 reading, 4 quizzes
Video8 videos
Course overview2m
Pulsars3m
Diving in: imaging stacking5m
Challenge: the median doesn't scale2m
The solution: improving your method3m
Module summary1m
Interview with Aris Karastergiou6m
Reading1 reading
Further reading10m
Quiz1 practice exercise
Pulsars: test your understanding10m
Week
2
Hours to complete
4 hours to complete

Big data makes things slow

In this module we explore the idea of scaling your code. Some algorithms scale well as your dataset increases, but others become impossibly slow. We look at some of the reason for this, and use the example of cross-matching astronomical catalogues to demonstrate what kind of improvements you can make. ...
Reading
7 videos (Total 35 min), 3 quizzes
Video7 videos
Supermassive black holes3m
What is cross-matching?4m
Evaluating time complexity5m
A (much) faster algorithm6m
Module summary2m
Interview with Brendon Brewer8m
Quiz1 practice exercise
Supermassive black holes: test your understanding10m
Week
3
Hours to complete
4 hours to complete

Querying your data

Most large astronomy projects use databases to manage their data. In this module we introduce SQL - the language most commonly used to query databases. We use SQL to query the NASA Exoplanet database and investigate the habitability of planets in other solar systems....
Reading
7 videos (Total 35 min), 3 quizzes
Video7 videos
Exoplanets4m
Querying database with SQL4m
More advanced SQL4m
Joining tables in SQL6m
Module summary2m
Interview with Jon Jenkins8m
Quiz1 practice exercise
Exoplanets - test your understanding10m
Week
4
Hours to complete
4 hours to complete

Managing your data

This module introduces the basic principles of setting up databases. We look at how to set up new tables, and then how to combine Python and SQL to get the best out of both approaches. We use these tools to explore the life of stars in a stellar cluster. ...
Reading
6 videos (Total 29 min), 3 quizzes
Video6 videos
The lifecycle of stars6m
Setting up your own database5m
Exploring a star cluster4m
Module summary2m
Interview with Emily Petroff6m
Quiz1 practice exercise
Stars - test your understanding10m
4.9
88 ReviewsChevron Right
Career direction

17%

started a new career after completing these courses
Career Benefit

83%

got a tangible career benefit from this course

Top Reviews

By GMJun 30th 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.

By JMJul 15th 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!

Instructors

Avatar

Tara Murphy

Associate Professor
School of Physics
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Simon Murphy

Postdoctoral Researcher
School of Physics

About The University of Sydney

The University of Sydney is one of the world’s leading comprehensive research and teaching universities, consistently ranked in the top 1 percent of universities in the world. In 2015, we were ranked 45 in the QS World University Rankings, and 100 percent of our research was rated at above, or well above, world standard in the Excellence in Research for Australia report....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • We assume you are familiar with basic programming in a modern programming language including variables, control structures, data structures, functions, and working with files. In this course we will use Python 3.

    We'll walk through all the examples and provide lots of support, so jump in and have a go. If haven't done any programming for a while, you might want to brush up before you start.

More questions? Visit the Learner Help Center.