Data Management Workshops
CEREO regularly hosts workshops covering data management and programming topics. Software Carpentry and Data Carpentry are two of our most common offerings. Carpentry workshops are designed to provide basic training for scientists who want to learn to build, use, validate, and share data using versatile open-source software. By teaching participants fundamental software skills and best practice techniques for working with and analyzing data, workshops help researchers spend more time doing useful research. See a list of our upcoming workshops here.
Data Carpentry workshops introduce the computational skills needed for effective data management and analysis. Instructors guide participants through the data life cycle, with exercises on topics from data cleaning and organization in spreadsheets to data manipulation and visualization with R or Python. These workshops are hands-on and provide a user-friendly and fun environment in which to learn data-driven research skills. Examples of software topics covered include: Data cleaning with OpenRefine, data analysis in R or Python, and data management with SQL.
2017 REU Workshop- Instructor: Stephanie Labou
Software Carpentry workshops introduce the computational skills needed for basic research computing. Instructors provide a user-friendly and fun environment in which to learn skills for performing version control, automating research tasks, and producing reproducible analyses. Examples of software topics covered include: the Unix shell, using R or Python for reproducible analyses, and version control with Git.
In addition to Data and Software Carpentry workshops, CEREO also hosts other workshop offerings from time to time. In the past these have included topics such as Google Earth Engine and reproducible research techniques using R.