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Big Data Capstone Project
edX
Course
Advanced
Free to Audit
Certificate

Big Data Capstone Project

Adelaide University

Further develop your knowledge of big data by applying the skills you have learned to real-world data science projects.

4 hrs/week6 weeksEnglish9,449 enrolled
Free to Audit

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. What will you learn? This data science project will give you the opportunity to deepen your learning in applied data analytics 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 data analytics 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. Who should study this Capstone course? This course is for students who have completed the previous four courses in the Big Data MicroMasters program . 3b:T

What You'll Learn

  • 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.

Prerequisites

  • Yes. Candidates finalising the Big Data program are advised to complete Programming for Data Science,Computational Thinking and Big Data, Big Data Fundamentals & Big Data Analytics before commencing the Capstone.Visit the MicroMasters Big Data Program page for more information.

Instructors

N

Nick Falkner

Associate Professor, School of Computer Science and Information Technology

G

Gavin Meredith

Former Research Associate

L

Lingqiao Liu

Associate Professor

I

Ian Knight

Former Associate Lecturer

Topics

Data Analysis
Data Selection
Big Data
Presentations
Data Science
Project Design
Addressing Ethical Concerns

Course Info

PlatformedX
LevelAdvanced
PacingUnknown
CertificateAvailable
PriceFree to Audit

Skills

تحليل البيانات
اختيار البيانات
البيانات الضخمة
العروض التقديمية
علم البيانات
Project Design
Addressing Ethical Concerns

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