Researchers are often required to share the data produced during their research. This may feel burdensome, but the Libraries can help. In this session, you will learn about writing a data management plan which will facilitate sharing, as well as sharing considerations and options, and quality assurance reviews through data curation. Free and open to […]
This four-session course will introduce participants to the primary packages and methods for data analysis in Python. The sessions will focus on how to utilize the popular Pandas library for the management and preliminary analysis of data, including cleaning, aggregation, and sorting. This class is intended for graduate students, faculty, and staff at WashU who […]
Data can be messy. Researchers commonly lament the amount of time spent preparing data before any analysis can take place. Potential steps for preparing or “cleaning” data include changing data types, adjusting values for consistency and validation, splitting or joining values, and removing extraneous records, to name a few. This workshop will cover some common […]