Data Services Class Descriptions

Obtain data and load it into a suitable "container" for analysis, often via an API, parse API-generated data and manipulate it

Parse data in Python, store it in helpful formats, perform transformations typical for mixed string-and-numeric formats

Learn an open-source tool for fast clean up of tabular data in preparation for analysis

A workshop designed to help researchers manage their digital research files

Explore concepts of distributed version control and learn basic Git concepts and GitHub workflows

Managing, annotating, organizing, archiving, and publishing research data using the Open Science Framework

Learn essential elements of writing a successful data management plan for federal funding agencies such as the NEH, NSF, NIH, NASA, and others

Extract and organize textual and tabular data using the OCR softwares Tesseract and ABBYY FineReader

Discover Packrat, R Markdown, and the integration of git with R to enable reproducible research workflows

An introduction to managing and publishing research projects using Jupyter Notebooks

Integrate Pandas, a powerful Python library, into your Jupyter Notebook workflow for analysis and visualization