Analyst
40분
Analyst Path
Six lessons covering Collection Explorer, dashboards, charts, and the AI Assistant to walk a data analyst end-to-end through their portal workflow.
0/6 complete
About this Path
This Path takes a data analyst who is new to D.Hub portal through the typical flow of finding internal data assets, building their first dashboard, and safely sharing the result. It is six lessons, roughly 40 minutes in total.
Each lesson is sized for 5–10 minutes. You can spread them across several sittings or run through the whole Path in one go — both work.
Prerequisites
- A portal account with access granted
- One of the following
- Reader access to a collection a teammate has already shared, or
- A handy CSV file (under 10k rows recommended)
No prior learning is required. You can finish this Path without knowing SQL.
What you'll be able to do
- Find data assets using the Collection Explorer and global search.
- Create your own collection and register a CSV as a dataset.
- Build your first dashboard by adding a widget on top of a dataset.
- Pick chart types and data modes (simple vs. query) that fit your intent.
- Understand the permission model and share results with teammates safely.
- Use the AI Assistant as an accelerator for finding data, building charts, and generating code.
What comes after this Path
- Workshop: Retail Inventory Intelligence — a real domain scenario end-to-end.
- Tutorial: Quick scenario import — load a dhub2-examples scenario into your own environment with a single command.
Check off each lesson as you finish it — progress is recorded automatically. Pick up where you left off and get started.
Lessons
- 01Analyst workflow overviewA five-minute tour of the surfaces a D.Hub portal analyst spends most time on — collections, dashboards, search, and the AI Assistant.5분
- 02Finding data — Explorer and searchLearn the two patterns for locating data — browsing the collection tree and narrowing with global search.6분
- 03Create your first collection and register a datasetCreate an empty collection, register a CSV as a dataset, and add the metadata that makes it findable.8분
- 04Build your first dashboard and widgetPlace a single widget on top of the dataset from the previous lesson and complete your first dashboard.8분
- 05Chart types and data configurationLearn the recommended data shape per chart type, when to use Simple mode vs. Query mode, and the basics of DRS injection.8분
- 06Sharing, the AI Assistant, and what to learn nextShare results safely using the permission model and use the AI Assistant as an accelerator for your own work.5분