Developer qualifications
Platform user track
- Import data (db, local files, file shares, webservices)
- Explore (viewers, selection vs filter, filters, layouts)
- Grid (actions, color-coding, summary columns, tooltips, context panel)
- Editing (in-place, batch edit, )
- Tabular transformations (aggregate, unpivot, join, link)
- Transformations (editing, add/remove rows/columns, add new column, functions)
- Create, publish, and share dashboards
Common track
- Explain what Datagrok is (product/platform, data science pyramid of needs)
- Create, publish, and share packages
- Create, deploy, and use package content (connections, queries, scripts, files)
- Understand extensibility points (file handlers, renderers, actions, viewers, etc)
- Develop UI (apps, views, inputs)
- Access data (databases, webservices, files)
- Scientific computations (R, Python, Matlab)
- Visualize (concepts, built-in charts)
- Work with dataframes (load, parse, create, aggregate, manipulate)
- Use DevTools (event viewer, profiler, test manager)
- Know where to get help (wiki, community, API reference, samples, YouTube)
- Explain all points above
Cheminformatics track
- Concepts
- Rendering (canvas/svg, alignment, highlighting, options)
- Sketchers
- Fingerprints
- Substructure search
- Similarity search
- Public datasets (Chembl, Drugbank, )
- Predictive modeling (chemprop)
- RDKit cartridge
- Use existing tools (activity cliffs, similarity/diversity browsers)
- Explain all points above
Machine learning track
- Use the built-in model builder
- Custom ML models
See also: