Learning Data Analysis with R – Learn data analysis with 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 by 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 with a comprehensive learning how to manipulate and analyze 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 for downloading compressed data from the web and learn more advanced ways to handle even the most difficult data sets to import. Next, you will move on to create static plots, while the second will show how to plot the spatial data on interactive web platforms such as Google Maps and Open Street maps. Finally, you will learn how 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.
Table of Contents:
– Importing Data in Table Format
– Handling the Temporal Component
– Importing Raster Data
– Exporting Data
– Descriptive Statistics
– Manipulating Vector Data
– Manipulating Raster Data
– Visualizing Spatial Data
– Interactive Maps
– Creating Global Economic Maps with Open Data
– Point Pattern Analysis of Crime in the UK
– Cluster Analysis of Earthquake Data
– Time Series Analysis of Wind Speed Data
– Regression and Statistical Learning
Manufacturer: Packt Publishing
Language of instruction: English
Teacher: Fabio Veronesi
Level of training: Elementary, Secondary
Time of training: 6 hours +
File size: 2190 MB