## Upcoming Workshops

## Past Workshops

This workshop, presented as part of Princeton's Research Computing Winter 2021 Bootcamp, introduces two modern R packages, both written by Hadley W

- AffiliationStatistical Programmer, Office of Population Research at Princeton University
- AffiliationStatistical Programmer, Office of Population Research at Princeton University

More of a demo and motivational talk than a workshop, this session will showcase how social science researchers could profit from learning the basi

Workshop will cover the foundations of machine learning, building up the background knowledge to fully understand the design and training of neural

Latent Class Analysis is a statistical method for finding subtypes of related cases (latent classes) from multivariate categorical data.

This workshop provides a discussion of issues to consider when designing statistical graphs. Topics include: 1. Tables vs graphs 2.

This workshop introduces concepts, software tools and best practices for making quantitative research computationally reproducible. Topics co

This workshop shows how to access Princeton's high performance computing resources.

The Structural Topic Model is a general framework for topic modeling with document-level covariate information.

This workshop introduces character string manipulation in R.

- AffiliationStatistical Programmer, Office of Population Research at Princeton University
- AffiliationStatistical Programmer, Office of Population Research at Princeton University

The concept of "tidy data" offers a powerful framework for structuring data to ease manipulation, modeling and visualization.

This workshop introduces two modern R packages, both written by Hadley Wickham and part of R's "tidyverse," that provide intuitive tools for handli

- AffiliationStatistical Programmer, Office of Population Research at Princeton University
- AffiliationStatistical Programmer, Office of Population Research at Princeton University

This workshop provides an introduction to the R graphics package ggplot2.

Working with real data almost always means dealing with missing data, but having some measures missing from an observation doesn’t mean that observ

This workshop provides a discussion of issues to consider when designing statistical graphs. Topics include:

This workshop provides an introduction to OpenScholar, a website building and content management tool for hosting professional profiles.

This workshop will show how the Stata commands margins and marginsplot can be used for model interpretation and visualization, and will present way

- AffiliationStatistical Programmer, Office of Population Research at Princeton University
- AffiliationStatistical Programmer, Office of Population Research at Princeton University

This workshop shows how you can access Princeton's high performance computing resources.

This workshop introduces concepts, software tools and best practices for making research reproducible.

If you want to increase the quality and impact of your work, you should consider doing open and reproducible research.

This workshop provides a brief introduction to Stata Graphics. Attendance is limited to first-year OPR graduate students and post-docs.

This workshop provides a brief introduction to Stata Data Management. Attendance is limited to first-year OPR graduate students and post-docs.

This workshop provides a brief introduction to Stata. Attendance is limited to first-year OPR graduate students and post-docs.

This workshop introduces two modern R packages, both written by Hadley Wickham, that provide intuitive tools for handling common data management ta

The Structural Topic Model is a general framework for topic modeling with document-level covariate information.

This workshop provides a discussion of issues to consider when designing statistical graphs. Topics include:

This workshop provides an introduction to the R graphics package ggplot2.

The concept of "tidy data" offers a powerful framework for structuring data to ease manipulation, modeling and visualization.

If you want to increase the quality and impact of your work, you should consider doing open and reproducible research.

This workshop provides a brief introduction to Stata Graphics. Attendance is limited to first-year OPR graduate students and post-docs.

This workshop provides a brief introduction to Stata Data Management. Attendance is limited to first-year OPR graduate students and post-docs.

This workshop provides a brief introduction to Stata. Attendance is limited to first-year OPR graduate students and post-docs.

Amazon Mechanical Turk (mturk.com) is a web service that provides an on-demand, scalable workforce to complete tasks that people can do better than

Python is a very popular, general-purpose, multi-paradigm, open-source, scripting language.

Python is a very popular, general-purpose, multi-paradigm, open-source, scripting language.

Python is a very popular, general-purpose, multi-paradigm, open-source, scripting language.

This workshop provides the nuts-and-bolts information you need to be able to *start* doing your work in an environment that's more powerful than yo

This workshop provides introductory and advanced techniques for making graphs in Stata.

This workshop introduces concepts, software tools, and best practices for making research more open and reproducible using R. Topics include: 1.

This workshop introduces concepts, software tools, and best practices for making research more open and reproducible using R. Topics include: 1.

If you want to increase the quality and impact of your work, you should consider doing open and reproducible research.

This workshop provides an introduction to the R graphics package ggplot2.

This workshop provides a discussion of issues to consider when designing statistical graphs. Topics include: 1. tables vs graphs 2.

This workshop provides a brief introduction to Stata Graphics. Attendance is limited to first-year OPR graduate students and post-docs.

This workshop provides a brief introduction to Stata Data Management. Attendance is limited to first-year OPR graduate students and post-docs.

This workshop provides a brief introduction to Stata. Attendance is limited to first-year OPR graduate students and post-docs.

pandas is an open-source Python package that enables users to handle table-like (""relational"") and key-value paired (""labeled"") data, large and

Python is a popular, general-purpose, multi-paradigm, open-source, scripting language.

pandas is an open-source Python package that enables users to handle table-like (""relational"") and key-value paired (""labeled"") data, large and

Python is a popular, general-purpose, multi-paradigm, open-source, scripting language.

You'll be a better data scientist if you're comfortable working in a Unix (or Linux or Mac OS X) command-line environment and are able to make use