Data Science
Conduct reproducible analysis in a controlled, collaborative environment.
Integrate data assets, analysis tools, and user access controls in a controlled research workbench. Collaborate efficiently across research teams. Select from both code-based and no-code interfaces depending on project needs and analytical expertise.
Collaborate in an environment with built-in user access controls, data assets and computational resource controls.
Use integrated tools such as RStudio and JupyterLab to perform advanced analyses directly on the data. These environments support full scripting capabilities with no additional configuration.
Build and modify dashboards through a graphical interface, allowing rapid visualization and descriptive analysis without programming.
