Statistics courses usually use clean and well-behaved data for examples and homework. This leaves many unprepared for the messiness and chaos of data in the real world. This workshop aims to prepare you for dealing with messy data by walking you through real-life example.
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 include layering, mapping variables to aesthetics, working with position, color, and other scales, faceting, and themes.
For the third year, Harvard, MIT, and Microsoft Research New England are proud to partner with Stanford University to bring the Women in Data Science (WiDS) conference to Cambridge, Massachusetts.
This one-day technical conference will bring together local academic leaders, industrial professionals and students to hear about the latest data science-related research in a number of domains, to learn how leading-edge...
The Unix shell (command line) has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing...
This mandatory training for new compute grid users will cover both basic and advanced concepts and resources of the compute grid. This training is only for those who already have an account, and only for those who are using compute resources. If you would like to get set up with an account, please email...
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. With hands-on exercises, we will learn how to import and manage datasets, create R objects, install and load R packages, conduct basic statistical analyses, and create common graphical...
This workshop introduces the basic elements of Python, a general purpose programming language commonly used for data cleaning, analysis, visualization, and other applications. Participants will learn how to use the language as well as how to set up a development environment for Python on their personal...
This workshop introduces the basic elements of Python, a general purpose programming language commonly used for data cleaning, analysis, visualization, and other applications. Participants will learn how to use the language as well as how to set up a development environment for Python on their personal...
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. With hands-on exercises, we will learn how to import and manage datasets, create R objects, install and load R packages, conduct basic statistical analyses, and create common graphical...
Version control software allows you to save “versions” of files -- scripts, text files, web pages, data, etc. -- which show the changes that were made to the files over time, and allows you to backtrack if necessary and undo those changes. The ability alone – of being able to...
