Big Data Fundamentals, Certificate | Part time online | edX - online learning platform | Australia
70 days
Tuition fee
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EdX is an online learning platform trusted by over 12 million users offering the Big Data Fundamentals Program in collaboration with University of Adelaide - AdelaideX.  Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

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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.

Programme 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

Key information


  • Part-time
    • 70 days
    • 8 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.




  • Self-paced

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

  • 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

Tuition Fee

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  • International

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 70 days.
  • National

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 70 days.


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Big Data Fundamentals
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