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AdelaideX: Big Data Capstone Project

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Duration

6 weeks

Pacing

Self-paced

Pricing

Free

AdelaideX: Big Data Capstone Project
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Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project.

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About this course

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.

At a Glance:
Institution: AdelaideX
Subject: Computer Science
Level: Advanced
Prerequisites:
Candidates interested in pursuing this program are advised to completeProgramming for Data Science,Computational Thinking and Big Data,Big Data Fundamentals&Big Data Analyticsbefore this course.
Language: English
Video Transcript: English
Associated programs:
MicroMasters® Program in Big Data
Associated skills:Presentations, Addressing Ethical Concerns, Big Data, Data Selection, Project Design, Data Science

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AdelaideX: Big Data Capstone Project
AdelaideX: Big Data Capstone Project
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