Visualize, manage, and map your data in our Fall 2017 Workshop Series. Our workshops are designed for researchers who are new to data driven research as well as those looking to expand skills with new methods and tools. With workshops exploring data visualization, digital mapping, data management, R, and Stata, the series offers a wide range of different data tools and techniques. This fall, we are extending our partnership with the Graduate School and offering several workshops in our data management series for RCR credit (please see course descriptions for further details).
Everyone is welcome at Duke Libraries workshops. We hope to see you this fall!
Workshop Series by Theme
Data Management
09-13-2017 – Data Management Fundamentals
09-18-2017 – Reproducibility: Data Management, Git, & RStudio
09-26-2017 – Writing a Data Management Plan
10-03-2017 – Increasing Openness and Reproducibility in Quantitative Research
10-18-2017 – Finding a Home for Your Data: An Introduction to Archives & Repositories
10-24-2017 – Consent, Data Sharing, and Data Reuse
11-07-2017 – Research Collaboration Strategies & Tools
11-09-2017 – Tidy Data Visualization with Python
Data Visualization
09-12-2017 – Introduction to Effective Data Visualization
09-14-2017 – Easy Interactive Charts and Maps with Tableau
09-20-2017 – Data Visualization with Excel
09-25-2017 – Visualization in R using ggplot2
09-29-2017 – Adobe Illustrator to Enhance Charts and Graphs
10-13-2017 – Visualizing Qualitative Data
10-17-2017 – Designing Infographics in PowerPoint
11-09-2017 – Tidy Data Visualization with Python
Digital Mapping
09-12-2017 – Intro to ArcGIS Desktop
09-27-2017 – Intro to QGIS
10-02-2017 – Mapping with R
10-16-2017 – Cloud Mapping Applications
10-24-2017 – Intro to ArcGIS Pro
Python
11-09-2017 – Tidy Data Visualization with Python
R Workshops
09-11-2017 – Intro to R: Data Transformations, Analysis, and Data Structures
09-18-2017 – Reproducibility: Data Management, Git, & RStudio
09-25-2017 – Visualization in R using ggplot2
10-02-2017 – Mapping with R
10-17-2017 – Intro to R: Data Transformations, Analysis, and Data Structures
10-19-2017 – Developing Interactive Websites with R and Shiny
Stata
09-20-2017 – Introduction to Stata
10-19-2017 – Introduction to Stata