Overview
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 from University of Adelaide - AdelaideX to a medium-scale data science project.
Key Facts
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 need to reflect on the nature of your data and identify any social and ethical concerns and identify appropriate ethical frameworks for 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 oral presentation of your project design, plan, methodologies, and outcomes.
The Big Data Capstone Project is part of the Big Data MicroMasters Program.
Get more details
Visit programme websiteProgramme Structure
Syllabus
- Dataset overview, data selection and ethics
- Exam (timed, proctored)
- Project Task 1: Data cleaning and Regression
- Project Task 2: Classification
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 42 days
- 4 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Disciplines
Data Science & Big Data View 580 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- 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.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
249 USD/fullTuition FeeBased on the tuition of 249 USD for the full programme during 42 days. -
National
249 USD/fullTuition FeeBased on the tuition of 249 USD for the full programme during 42 days.
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