Managing Big Data with R and Hadoop
Partnership for Advanced Computing in Europe (PRACE)
  • Start Date: 06 May, 2019
  • 5 weeks
  • Study Content: Videos


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

Course Fee: Free
Certificate Cost: See Fees and Eligibility

Introduction

Introduction Video

Course Description

This course is made available through the eLearnAfrica and FutureLearn partnership.

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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.


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, bash and R and are capable to download and run virtual machine.


All software needed to actively participate the course is provided within the virtual machine that the followers are supposed to download and run on the local machine. No extra software is needed.
You will need a modest local machine with 15GB free disk space and 2GB RAM.


Certificate cost may vary. You will be redirected to the host page for cost and payment options.

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. The PRACE Research Infrastructure provides a persistent world-class high performance computing service for scientists and researchers from academia and industry in Europe.

The computer systems and their operations accessible through PRACE are provided by 4 PRACE members (BSC representing Spain, CINECA representing Italy, CSCS representing Switzerland, GCS representing Germany and GENCI representing France). The Implementation Phase of PRACE receives funding from the EU’s Seventh Framework Programme (FP7/2007-2013) under grant agreement RI-312763 and from the EU’s Horizon 2020 Research and Innovation Programme (2014-2020) under grant agreement 653838.

 

This institution is available on eLearnAfrica through partnership with FutureLearn.

You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
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Effective Date: September 22, 2016