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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 four 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 2376	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 2376

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

Programming skillsKnowledge of AlgorithmsMachine learningData science knowledgeDatabase ManagementKnowledge of PythonKnowledge of Big DataSQL knowledgeKnowledge of deep learning

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

Data Scientist

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.