FutureLearn

Managing Big Data with R and Hadoop (FutureLearn)

Offered by Partnership for Advanced Computing in Europe - PRACE,
Managing Big Data with R and Hadoop (FutureLearn)

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

Class Deals by MOOC List - Click here and see FutureLearn's Active Discounts, Deals, and Promo Codes.

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.

Syllabus

Week 1: Welcome to BIG DATA
Week 2: Working with Hadoop
Week 3: First steps in R and RHadoop
Week 4: Statistical learning with RHadoop: clustering
Week 5: Statistical learning with RHadoop: regression and classification

By the end of the course, you will:

  • 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 Universiy of Ljubljana

Who is the course for?
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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Why Experience Matters: Qualitative Research (FutureLearn) FutureLearn
Griffith University,Deakin University

Why Experience Matters: Qualitative Research (FutureLearn)

Education Health & Society

Explore the methods and tools qualitative researchers use to understand human behaviour and solve social problems. What attitudes and beliefs drive human behaviour? Qualitative research explores people’s stories and lived experiences to help us understand their perceptions, motivations and behaviour. It uses personalised research methods such as interviews, focus groups and observation to help us view the world from another’s perspective.

No sessions available
2 Weeks
Behavior Data Analysis Human Behavior
Details
Big Data: Data Visualisation (FutureLearn) FutureLearn
Queensland University of Technology

Big Data: Data Visualisation (FutureLearn)

Management & Leadership Statistics & Data Analysis

Data visualisation is vital in bridging the gap between data and decisions. Discover the methods, tools and processes involved. Data visualisation is an important visual method for effective communication and analysing large datasets. Through data visualisations we are able to draw conclusions from data that sometimes are not immediately obvious, and interact with the data in an entirely different way.

No sessions Available
3 Weeks
Big Data Information Visualisation Data Visualization
Details
Introduction to R for Data Science (FutureLearn) FutureLearn
Purdue University

Introduction to R for Data Science (FutureLearn)

CS: Software Engineering CS: Programming

Work with airline data to learn the fundamentals of the R platform. We live in a data-driven world. This course is relevant to learners who are interested in analyzing data that is pervasive across disciplines. Have you ever wondered how data-driven decisions are made across airlines? This course will use airline data to demonstrate key concepts involved in the analysis of big data.

No sessions available
4 Weeks
Programming Big Data Data Science
Details
Big Data: Statistical Inference and Machine Learning (FutureLearn) FutureLearn
Queensland University of Technology

Big Data: Statistical Inference and Machine Learning (FutureLearn)

Management & Leadership Statistics & Data Analysis

Learn how to apply selected statistical and machine learning techniques and tools to analyse big data. Everyone has heard of big data. Many people have big data. But only some people know what to do with big data when they have it. So what’s the problem? Well, the big problem is that the data is big—the size, complexity and diversity of datasets increases every day. This means that we need new technological or methodological solutions for analysing data. There is a great demand for people with the skills and know-how to do big data analytics.

No sessions available
2 Weeks
Machine Learning Big Data Statistical Inference
Details
Business Analytics Using Forecasting (FutureLearn) FutureLearn
National Tsing Hua University

Business Analytics Using Forecasting (FutureLearn)

Management & Leadership Business

Discover how business can harness the power of big data to make better predictive analysis. Learn how to use data to create powerful business forecasts. Organisations currently collect a vast quantity of data about suppliers, clients, employees, citizens, transactions, and much more. However, many are unaware of the predictive power this ‘big data’ has if anaylsed correctly. On this course, you’ll learn about forecasting using big data, exploring how it’s used by business as an important component of decision making.

Self Paced
5-12 Weeks
Big Data Data Modeling Forecasting
Details
Big Data and the Environment (FutureLearn) FutureLearn
University of Reading,Institute for Environmental Analytics - IEA

Big Data and the Environment (FutureLearn)

Statistics & Data Analysis Sci: Environment

From sources such as satellites, sensors and social media, how can environmental data analytics benefit business and research? From weather fluctuations to the spread of an invasive species, what problems can scientists address by analysing these vast data collections? What are the potential benefits for business, research and our daily lives?

No sessions available
3 Weeks
Environment Big Data Data Analysis
Details
Data to Insight: An Introduction to Data Analysis and Visualisation (FutureLearn) FutureLearn
University of Auckland

Data to Insight: An Introduction to Data Analysis and Visualisation (FutureLearn)

Statistics & Data Analysis

A hands-on introduction emphasizing key ideas, computer skills and statistical thinking. Data is everywhere and the lessons it contains can be the key to making good decisions. We want to give you skills and the confidence to dive into data using computer software and start making discoveries. You will learn key elements of data science and to start thinking like a statistician.

No sessions available
5-12 Weeks
Statistics Data Analysis Statistical Analysis
Details
Bioinformatics for Biologists: An Introduction to Linux, Bash Scripting, and R (FutureLearn) FutureLearn
Wellcome Genome Campus Advanced Courses and Scientific Conferences

Bioinformatics for Biologists: An Introduction to Linux, Bash Scripting, and R (FutureLearn)

Health & Society CS: Information & Technology

Get familiar with Linux and its command line in order to access the full range of bioinformatics tools available to researchers. Explore the full range of bioinformatics software through Linux command line. Bioinformatics is a rapidly growing academic field, and one that promises to change how we analyse and compare biological data. On this course, you’ll get familiar with Linux – the operating system often used to access and analyse biological data.

Self Paced
3 Weeks
Biology Linux Bioinformatics
Details