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This introduction to the popular ggplot2 R graphics package will show you how to create a wide variety of graphical displays in R. Topics covered included aesthetic mapping and scales, faceting, and themes. This is an intermediate-level workshop

This hands-on, intermediate course will guide you through a variety of programming functions in the open-source statistical software program, R. It is intended for those already comfortable with using R for data analysis who wish to move on to

This hands-on, intermediate course will guide you through a variety of programming functions in the open-source statistical software program, R. It is intended for those already comfortable with using R for data analysis who wish to move on to

This hands-on class will provide a comprehensive introduction to graphics in Stata. Topics for the class include graphing principles, descriptive graphs, linear regression, factor variables, and post-estimation graphs. This is an introductory

This hands-on class will provide a comprehensive introduction to graphics in Stata. Topics for the class include graphing principles, descriptive graphs, linear regression, factor variables, and post-estimation graphs. This is an introductory

This class will provide a hands-on introduction to Stata. You will learn how to navigate Stata’s graphical user interface, import data, calculate descriptive statistics, and manage data and value labels. This workshop is designed for individuals who

This class will provide a hands-on introduction to Stata. You will learn how to navigate Stata’s graphical user interface, import data, calculate descriptive statistics, and manage data and value labels. This workshop is designed for individuals who

Get an introduction to R, the open-source system for statistical computation and graphics. With hands-on exercises, learn how to import and manage datasets, create R objects, install and load R packages, conduct basic statistical analyses, and create

Get an introduction to R, the open-source system for statistical computation and graphics. With hands-on exercises, learn how to import and manage datasets, create R objects, install and load R packages, conduct basic statistical analyses, and create

Data Science Services at Harvard’s Institute for Quantitative Social Science will once again be offering statistical software and programming workshops at the Harvard campus this fall. They are free for MIT and Harvard affiliates. See the current