Learning Data Analysis with R [Video]

More Information
  • Import and export data in various formats in R
  • Perform advanced statistical data analysis
  • Visualize your data on Google or Open Street maps
  • Enhance your data analysis skills and learn to handle even the most complex datasets
  • Learn how to handle vector and raster data in R

R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

This video delivers viewers the ability to conduct data analysis in practical contexts with R, using core language packages and tools. The end goal is to provide analysts and data scientists a comprehensive learning course on how to manipulate and analyse small and large sets of data with R. It will introduce how CRAN works and will demonstrate why viewers should use them.

You will start with the most basic importing techniques, to downloading compressed data from the web and learn of more advanced ways to handle even the most difficult datasets to import. Next, you will move on to create static plots, while the second will show how to plot spatial data on interactive web platforms such as Google Maps and Open Street maps. Finally, you will learn to implement your learning with real-world examples of data analysis.

This video will lay the foundations for deeper applications of data analysis, and pave the way for advanced data science.

Style and Approach

In this practical video, you will learn to perform a range of data analysis tasks along with real world data sets. This video delivers viewers the ability to conduct data analysis in practical contexts with R, using core language packages and tools.

The overall vision of this video is structured as a series of practical tutorials which cover single tasks, with their appropriate R packages, in detail.

  • Harness the power of Open Data to propel your career or business to a new level
  • Manipulate and analyze small and large sets of data with R
  • Practice with real world examples of Data Analysis and build a strong foundation for moving into Data Science
Course Length 6 hours 07 minutes
ISBN 9781785889868
Date Of Publication 27 Feb 2017


Fabio Veronesi

Fabio Veronesi obtained a Ph.D. in digital soil mapping from Cranfield University and then moved to ETH Zurich, where he has been working for the past three years as a postdoc. In his career, Dr. Veronesi worked at several topics related to environmental research: digital soil mapping, cartography and shaded relief, renewable energy and transmission line siting. During this time Dr. Veronesi specialized in the application of spatial statistical techniques to environmental data.