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Certification

You will get a certificate on completing this course.

University

The course is from one of the top universities of the world - Adelaide.

Price

This course is costly - Rs. 53167/-.

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You can get a reward of 250 coins on buying this course. These coins can be redeemed for 1 coin= 1Re.

Big Data Capstone Project

FREE (Audit)
27 hours
English
Adelaide
Course by
edXCourses from edX
Certificate awarded
For Rs. 53167
Advanced
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Checklist

Certification

You will get a certificate on completing this course.

University

The course is from one of the top universities of the world - Adelaide.

Price

This course is costly - Rs. 53167/-.

Edvicer's Rewards

You can get a reward of 250 coins on buying this course. These coins can be redeemed for 1 coin= 1Re.

Why should you choose this course?

Description

The Big Data Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this Big Data MicroMasters program to a medium-scale data science project. Working with organisations and stakeholders of your choice on a real-world dataset, you will further develop your data science skills and knowledge. This project will give you the opportunity to deepen your learning by giving you valuable experience in evaluating, selecting and applying relevant data science techniques, principles and theory to a data science problem. This project will see you plan and execute a reasonably substantial project and demonstrate autonomy, initiative and accountability. You’ll deepen your learning of social and ethical concerns in relation to data science, including an analysis of ethical concerns and ethical frameworks in relation to data selection and data management. By communicating the knowledge, skills and ideas you have gained to other learners through online collaborative technologies, you will learn valuable communication skills, important for any career. You’ll also deliver a written presentation of your project design, plan, methodologies, and outcomes.

Syllabus

How to evaluate, select and apply data science techniques, principles and theory
How to plan and execute a project
Work autonomously using your own initiative
Identify social and ethical concerns around your project
Develop communication skills using online collaborative technologies.

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