This is the code repository for Learning Data Analysis with R (Video), published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
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.
- 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
If you are a statistician, analyst, or a budding data scientist and want to learn how to analyze data with R, then this is the course for you. Some basic knowledge of R and programming is assumed, along with a background in mathematics.
This course has the following requirements:
Laptop or PC with Internet connection
R /basic programming skills