Introduction

Description

As data-based research becomes a common practice, skills in data management, data analysis, and computational thinking are increasingly important for applied researchers. The Graduate Student Research Data Bootcamp will provide incoming and continuing graduate students with a gentle introduction to data and programming-related research tools that will increase their access to cutting-edge methods as they begin their programs and research. Topics covered include reproducible research (especially using containerization tools such as Docker); tools for collaboration and sharing (using GitHub and GitHub Pages); data analysis and visualization fundamentals in Python and R; and an overview of data publishing and data management.

At the conclusion of the Bootcamp, session recordings will be posted to each individual session page, as well as the main Recordings page (which is a sub-section of the Wrap Up and Next Steps page of the Bootcamp website). You can scroll through various session pages and sub-pages using the menu on your left.

Introduction

Description

Table of contents