Non-Credit Instruction
Data Scholar Program
The Baylor University Library’s Data Scholar Program is a collection of self-paced data & digital scholarship video modules designed specifically to meet the needs of the Baylor research community. Modules are offered in the following 5 categories: (1) Data Visualization, (2) Qualitative Data Analysis/Test Data Mining, (3) Data Scripting, (4) Research Data Management, and (5) Finding Secondary Data.
Access the Data Scholar Program here.
Fundamentals of Data Research (FDR) Summer Fellowship
The Summer Fundamentals of Data Research Fellowship is an intensive Fellowship program. This competitive program includes a stipend of $1,000 and a commitment by data research experts to work 1-on-1 with Fellows to integrate qualitative data analysis (i.e., NVivo), data visualization (i.e., Tableau, Power BI), text data mining, Python scripting, GIS, and research data management into the Fellows’ research.
Eligible applicants include (1) graduate students form any discipline and (2) faculty in the humanities.