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Overview
Organizations now have access to massive amounts of data and it’s influencing the way they operate. They are realizing in order to be successful they must leverage their data to make effective business decisions.
In this Big Data Fundamentals course, part of the Big Data MicroMasters Program from University of Adelaide - AdelaideX you will learn how big data is driving organisational change and the key challenges organizations face when trying to analyse massive data sets.
This course is part of a MicroMasters® Program
You will learn fundamental techniques, such as data mining and stream processing. You will also learn how to design and implement PageRank algorithms using MapReduce, a programming paradigm that allows for massive scalability across hundreds or thousands of servers in a Hadoop cluster. You will learn how big data has improved web search and how online advertising systems work.
By the end of this course, you will have a better understanding of the various applications of big data methods in industry and research.
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Visit official programme websiteProgramme Structure
What you'll learn:
Knowledge and application of MapReduce
Understanding the rate of occurrences of events in big data
How to design algorithms for stream processing and counting of frequent elements in Big Data
Understand and design PageRank algorithms
Understand underlying random walk algorithms
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Visit official programme websiteKey information
Duration
- Part-time
- 70 days
- 8 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Disciplines
Informatics & Information Technology Computer Sciences Data Science & Big Data View 27 other Short Courses in Data Science & Big Data in AustraliaExplore more key information
Visit official programme websiteAcademic 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
Candidates interested in pursuing the MicroMasters program in Big Data are advised to completeProgramming for Data ScienceandComputational Thinking and Big Databefore undertaking this course.
Level: Intermediate
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Visit official programme websiteTuition Fee
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 70 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 70 days.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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