The University of Adelaide is one of Australia’s leading research-intensive universities and is consistently ranked among the top 1% of universities in the world. Established in 1874, it is Australia’s third oldest university and has a strong reputation for excellence in research and teaching. The University is known for its dedication to the discovery of new knowledge and preparing the educated leaders of tomorrow. It has over 100 Rhodes Scholars, including Australia’s first Indigenous winner, and five Nobel Laureates among its alumni community. Currently, there are more than 25,000 students from over 90 countries.

Course: Big Data Fundamentals

Learn how big data is driving organizational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

Self-Paced

Starts on 24 October 2017

About this course

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 course, part of the Big Data MicroMasters program, you will learn how big data is driving organizational change and the key challenges organizations face when trying to analyze massive data sets.

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.

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.

Length: 10 weeks

Effort: 8-10 hours per week

Price: FREE

Institution: AdelaideX

Subject: Computer Science

Level: Introductory

Languages: English

Video Transcripts: English

Prerequisites: None

Please go to the course link for further detailed information and enrollment:

https://www.edx.org/course/big-data-fundamentals-adelaidex-bigdatax#!