Typically, researchers need to assemble, shape and create different datasets and variables into a useful form for a variety of analyses. In fact, these tasks are often more time-consuming than the analysis itself; and prone to a wide range of errors and inconsistencies. This workshop provides a set of routines to enter, cleanse and manage your data in the most efficient manner in R. Specifically, participants will learn tricks to solve automatically common problems when dealing with panel data, event data and text as data in a transparent and reproducible manner. Moreover, participants will learn about some add on packages that make R powerful in Data wrangling. The course’s length is 3 days. Participants are free to attend either all the days or any combination of days. The first day is devoted to an introduction to R programming, data structure and Rmarkdown. The second day provides a set of tools to solve the most common challenges in data manipulation and data store in a clean and consistent way. The last day shows a handful number of techniques to join multiple data sets together, creation of data joins and manipulate individual characters (e.g. words) within character vectors.