FIU Libraries: GIS/RS Data Services: Learning Resources

Resources

100 FREE TUTORIALS FOR LEARNING R
R programming language tutorials are listed below which are ideal for beginners to advanced users. R language is the world's most widely used programming language for statistical analysis, predictive modeling and data science. It's popularity is claimed in many recent surveys and studies. R programming language is getting powerful day by day as number of supported packages grows. Some of big IT companies such as Microsoft and IBM have also started developing packages on R and offering enterprise version of R.

Data Carpentry: R for data analysis and visualization of Ecological Data
This is an introduction to R designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from R.
Python for Social Science Data
Learn how to analyze social science data using python.

ESRI Press
Collection of books to download and execute the tutorials.
An Introduction to Spatial Regression Models in the Social Science
2007 Michael D. Ward & Kristian Skrede Gleditsch

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