About this Course

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Learner Career Outcomes

32%

started a new career after completing these courses

23%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 22 hours to complete

English

Subtitles: English

Skills you will gain

Python ProgrammingMachine LearningApplied Machine LearningSQL

Learner Career Outcomes

32%

started a new career after completing these courses

23%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 22 hours to complete

English

Subtitles: English

Offered by

The University of Sydney logo

The University of Sydney

Syllabus - What you will learn from this course

Content RatingThumbs Up98%(2,087 ratings)Info
Week
1

Week 1

4 hours to complete

Thinking about data

4 hours to complete
8 videos (Total 30 min), 1 reading, 4 quizzes
8 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
1 reading
Further reading10m
1 practice exercise
Pulsars: test your understanding10m
Week
2

Week 2

4 hours to complete

Big data makes things slow

4 hours to complete
7 videos (Total 35 min)
7 videos
Supermassive black holes3m
What is cross-matching?4m
Evaluating time complexity5m
A (much) faster algorithm6m
Module summary2m
Interview with Brendon Brewer8m
1 practice exercise
Supermassive black holes: test your understanding10m
Week
3

Week 3

4 hours to complete

Querying your data

4 hours to complete
7 videos (Total 35 min)
7 videos
Exoplanets4m
Querying database with SQL4m
More advanced SQL4m
Joining tables in SQL6m
Module summary2m
Interview with Jon Jenkins8m
1 practice exercise
Exoplanets - test your understanding10m
Week
4

Week 4

4 hours to complete

Managing your data

4 hours to complete
6 videos (Total 29 min)
6 videos
The lifecycle of stars6m
Setting up your own database5m
Exploring a star cluster4m
Module summary2m
Interview with Emily Petroff6m
1 practice exercise
Stars - test your understanding10m

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.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

  • 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.