I have access to a database with a lot of credit data about individuals through my job and I'd like to use it to learn some R and eventually, come up with some models that predict credit worthiness using both the credit data and positive data from how these clients perform as our customers.

Can someone recommend a few things:

  • Some tutorials and/or resources for getting started with R
  • Good entry-level use cases for how I could use this credit data to learn R

Recently I asked for a set of links to start learning R. Glad to share it with you:

What I would suggest you to start with is...

  • just simple playing with the data: plotting histograms, scatterplots, boxplots, etc.
  • better understanding your data: density estimation, detecting outliers, etc.
  • then maybe trying to explore the connection between the variables: regression, linear models, variable selection, non parametrical models, etc.
  • testing different models: cross validation, bootstrap, confidence intervals
  • and a lot more ideas limited only with your imagination...

Good luck!


Here are some more links

Computing for Data Analysis

This course is about learning the fundamental computing skills necessary for effective data analysis. You will learn to program in R and to use R for reading data, writing functions, making informative graphs, and applying modern statistical methods.


Fundamentals of Statistical Computing for Behavioral and Social Scientists & Introduction to R with Applications in Data Mining


And once you learn a lot R

useR! 2013, the R user conference



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