Big Data Fundamentals

Big Data Fundamentals
1 hour coourse
Certification paid
Course by EdX
Big Data Fundamentals
What will you 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
About the 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 organisational change and the key challenges organizations face when trying to analyse 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.

Big Data Fundamentals
Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms.
Frank Neumann
Frank Neumann
Professor, School of Computer Science University of Adelaide
Vahid Roostapour
Vahid Roostapour
PhD Student, School of Computer Science University of Adelaide
Aneta Neumann
Aneta Neumann
Postgraduate Researcher, School of Computer Science University of Adelaide
Wanru (Kelly) Gao
Wanru (Kelly) Gao
Lecturer, School of Computer Science University of Adelaide
All the courses on this platform are free of charge. The authors are top universities and corporations that seek to maintain high quality standards. If you do not meet a deadline for assignments, you lose points. Like on other platforms, the videos in which the theory is explained are followed by practical assignments. Courses are available in English, Chinese, Spanish, French and Hindi.
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