Big Data Fundamentals by University of Adelaide
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Big Data Fundamentals by University of Adelaide at edX Overview
Big Data Fundamentals by University of Adelaide
at edX
Upskilling is a better roadmap to success. Enroll in this course to learn critical principles of Big Data through real-life case studies & examples
Duration | 15 hours |
Start from | Start Now |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Big Data Fundamentals by University of Adelaide at edX Highlights
Big Data Fundamentals by University of Adelaide
at edX
- 41% got a tangible career benefit from this course
- Earn a certificate of learning on course completion
- A great course for learning Big Data
- This course is offered by University of Adelaide
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Big Data Fundamentals by University of Adelaide at edX Course details
Big Data Fundamentals by University of Adelaide
at edX
Skills you will learn
What are the course deliverables?
- 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
More 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 organisational change and the key challenges organizations face when trying to analyse massive data sets.
Big Data Fundamentals by University of Adelaide at edX Curriculum
Big Data Fundamentals by University of Adelaide
at edX
Section 1: The basics of working with big data
Section 2: Web and social networks
Section 3: Clustering big data
Section 4: Google web search
Section 5: Parallel and distributed computing using MapReduce
Section 6: Computing similar documents in big data
Section 7: Products frequently bought together in stores
Section 8: Movie and music recommendations
Section 9: Google's AdWordsTM System
Section 10: Mining rapidly arriving data streams
Big Data Fundamentals by University of Adelaide at edX Admission Process
Big Data Fundamentals by University of Adelaide
at edX
Important Dates
May 25, 2024
Course Commencement Date
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Big Data Fundamentals by University of Adelaide
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