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 ## Background
 This material was developed by the [DIME Analytics](https://worldbank.github.io/dimeanalytics/) team as an introduction to R Statistical Package for its staff. It builds upon knowledge of Stata to explore features of R with impact evaluation applications in mind. It also assumes some degree of familiarity with DIME's [coding practices](https://dimewiki.worldbank.org/wiki/Stata_Coding_Practices).
 
-## Current version
-The development branch version is being adopted in DIME's R training in November and December 2018. As the training is on going, the content is being updated in real time as each presentation has a final version.
-
-Other presentations were adopted in DIME's [Field Coordinator Training](http://www.worldbank.org/en/events/2018/04/09/manage-successful-impact-evaluations) in June 18.  
-
-## FC training content
+## Training content
 1. Intro to R: introduction to RStudio, R syntax, objects and classes. Designed for a 3h session.
 1. Coding Best Practices in R: uses and R master script to explore code organization, loops, custom functions and if statements. Designed for a 1h30 session.
 1. Data Processing: basic functions for porcessing data. Designed for a 2h session.