Managing Big Data with R and Hadoop

Online Course

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Managing Big Data with R and Hadoop
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Managing Big Data with R and Hadoop
The course Managing Big Data with R and Hadoop is an online class provided by Partnership for Advanced Computing in Europe (PRACE) through Future Learn. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn how to manage and analyse big data using the R programming language and Hadoop programming framework.

Course description
  • You will experience how to use RHadoop tool to manage and analyse big data.
  • 5 weeks
  • This course will give you access to a virtual environment with installations of Hadoop, R and Rstudio to get hands-on experience with big data management. Several unique examples from statistical learning and related R code for map-reduce operations will be available for testing and learning.
  • Those with basic knowledge in statistical learning and R will better understand the methods behind and how to run them in parallel using map-reduce functions and Hadoop data storage. At the end of the course you will get access to RHadoop on a supercomputer at University of Ljubljana.
  • Welcome to BIG DATA
  • Working with Hadoop
  • First steps in R and RHadoop
  • Statistical learning with RHadoop: clustering
  • Statistical learning with RHadoop: regression and classification
  • Explore basic functionality of Apache Hadoop and of RHadoop
  • Experiment how to achieve performance of modern supercomputing
  • Experiment regression, clustering and classification with RHadoop
  • Investigate basic functionality of Bash terminal window
  • Knowledge about statistical learning to instances of data provided by edcators
  • How to do big data management with RHadoop on real supercomputer provided by University of Ljubljana
  • This course is designed for people interested in data science, computational statistics and machine learning and have basic experiences with them. It will be also useful for advanced undergraduate students and first year PhD students in data analysis, statistics or bioinformatics, who wish to understand how to manage big data with Hadoop using R programming language.
  • We expect that the learners will also have basic experiences with linux and bash and working experiences with R and matrix operations. They should be also capable to download and run virtual machine.
  • Partnership for Advanced Computing in Europe (PRACE)
  • The Partnership for Advanced Computing in Europe (PRACE) is an international non-profit association with its seat in Brussels.
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Prerequisites & Facts

Managing Big Data with R and Hadoop

Course Topic

Personal Development, Personal Transformation

University, College, Institution

Partnership for Advanced Computing in Europe (PRACE)

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Managing Big Data with R and Hadoop

To obtain a verified certificate from Future Learn / Partnership for Advanced Computing in Europe (PRACE) you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Partnership for Advanced Computing in Europe (PRACE)
Managing Big Data with R and Hadoop
provided by Future Learn
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Here you can find information, reviews and user experiences for the course “Managing Big Data with R and Hadoop“. The provider of the course – “Partnership for Advanced Computing in Europe (PRACE)” – will be glad to answer any questions you may have about the class, click here to use the offical support channels. It would be great if you could share your experience of participating in the course – Your honest review will surely help others to choose the right class!
School: Partnership for Advanced Computing in Europe (PRACE)
Topic: Business & Management, Data Analytics, Data Science, Science, Engineering & Maths

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