Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
This Data-driven Astronomy online course is designed and developed by the University of Sydney for the candidates to learn on the Coursera online education platform. This physical and astronomical course is expected to be completed by the students in twenty hours entirely. The intermediate-level course is a study about the scope of data science in the field of astronomy and the role of tools and techniques of machine learning that are used to understand the data.
In the Data-driven Astronomy training course, the candidates are provided with the opportunity to know and comprehend the problems that may arise while handling large datasets, the strategies to use algorithms, and the ways to use the different programming languages and software tools to decipher the data.
The course instructors for this online certification course are associate professor Tara Murphy and Simon Murphy, a postdoctoral researcher at the school of physics at the University of Sydney.
The Highlights
- Online mode
- Twenty Two hours programme
- Financial aid
- Flexible deadline
- Intermediate level course
- Shareable certificate
- Subtitles in Arabic, French, Portuguese, Italian, Vietnamese, German, Russian, English, Spanish.
Programme Offerings
- Lectures
- course videos
- Readings
- Practice Exercises
- quizzes
- Graded Assignments
- tests
- Expert interviews
- financial aid
- Self-paced learning
- subtitles
- Course Completion Certificate.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2435 | yes | Coursera |
This online programme is offered in two different versions wherein the paid version consists of the benefits like certificate, access to graded assignments and tests.
Data-driven Astronomy fee structure
Audit mode | Free |
Course Certificate fee | Rs 2,435 |
Eligibility Criteria
The Data-driven Astronomy training will require the candidates to have knowledge about modern programming languages and the skills for variables, control structures, data structures, functions, and an experience for working with files.
Certificate qualifying details
The candidate who completes the ‘Data-driven Astronomy’ programme successfully will receive a course completion certificate from Coursera.
What you will learn
The Data-driven Astronomy syllabus enables the students to learn about practical skills that will aid the process of the huge amounts of data involved in the astronomical observations and the scope of machine learning and technology that helps the data analysis for the scientists. The learners will gain expertise with the programming language called python 3. The Data-driven Astronomy classes consist of an improved learning experience which paves the way for the candidates to upskill themselves with python programming, machine learning, and the concepts and principles of applied machine learning with an exposure to the knowledge of SQL.
Who it is for
The Data-driven Astronomy online training benefits the scientists, data scientists, and other professionals of the astronomical field to discover facts, concepts, and ideas about the planets, universe, and everything associated with them.
Admission Details
The registration for the course on ‘Data-driven Astronomy’ by Coursera can be done through the official website as per the following steps.
Step 1: Get to the course page on the official website of Coursera using the link below,
https://www.coursera.org/learn/data-driven-astronomy
Step 2: Click on the ‘Enroll for free’ option on the course page.
Step 3: Choose the convenient mode for course access.
Step 4: Enter the relevant information and complete the enrollment.
Application Details
On the form found on the registration page for the ‘Data-driven Astronomy’ training, the candidates will be required to fill in their name and email address.
The Syllabus
Videos
- Thinking about data
- Course overview
- Pulsars
- Diving in: imaging stacking
- Challenge: the median doesn't scale
- The solution: improving your method
- Module summary
- Interview with Aris Karastergiou
Reading
- Further reading
Practice exercise
- Pulsars: test your understanding
Videos
- Big data makes things slow
- Supermassive black holes
- What is cross-matching?
- Evaluating time complexity
- A (much) faster algorithm
- Module summary
- Interview with Brendon Brewer
Practice exercise
Supermassive black holes: test your understanding
Videos
- Managing your big datasets
- The lifecycle of stars
- Setting up your own database
- Exploring a star cluster
- Module summary
- Interview with Emily Petroff
Practice exercise
- Stars - test your understanding
Videos
- Managing your big datasets
- The lifecycle of stars
- Setting up your own database
- Exploring a star cluster
- Module summary
- Interview with Emily Petroff
Practice exercise
Stars - test your understanding
Videos
- Learning from data
- The cosmological distance scale
- What is machine learning?
- Decision tree classifiers
- Estimating redshifts using regression
- Summary
- Interview with Ashish Mahabal
Practice exercise
- Cosmological distances - test your understanding
Videos
- Classifying your data
- Types of galaxies
- Morphological classification of galaxies
- Limitations of decision tree classifiers
- Improving our results with ensemble classifiers
- Module summary
- Interview with Karen Masters
Reading
- Classify some galaxies by hand!
Practice exercise
- Galaxies - test your understanding
Instructors
The University of Sydney, Sydney Frequently Asked Questions (FAQ's)
The University of Sydney has designed the course and is offering the course on Coursera.
The course instructors for this online programme are associate professor Tara Murphy and postdoctoral researcher Simon Murphy.
The candidates are required to have prior knowledge of the basics of programming languages.
Yes, the course can be accessed for free without the benefits like certificates, graded assignments and tests.
Yes, you will receive a course completion certificate from Coursera after completing the course along with the assignments and tests.