Data Management and Analysis for Quantitative Data using R Course

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Introduction

R is a programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical data analysis. You will start with the most basic importing techniques and 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 implementation and data analysis.

 

Duration

5 days

 

Who Should Attend?

Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyze data with R,

 

Course Objective:

• 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

Course content

• Introduction
• 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
• Global Economic Maps with Open Data
• Point Pattern Analysis of Crime
• Cluster Analysis of Earthquake Data
• Time Series Analysis of Wind Speed Data
• Geostatistics
• Regression and Statistical Learning

CLICK ON THIS LINK to view course outline and register to attend