Analyst Path
A 45-minute, six-lesson Path covering Collections, dashboards, charts, and the AI Assistant for a data analyst's end-to-end portal workflow.
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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 45 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
- The date range selector practice CSV used in Lesson 3
The practice file contains daily foot traffic for eight regions from January 1 through December 31, 2025. You will register it as a dataset in Lesson 3 and use the same file for charts and the date range selector in Lessons 4 and 5.
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 tree 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
- Retail Inventory Intelligence — a real domain scenario end-to-end.
- Quick scenario import (advanced, 10 min) — 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's main work areasA five-minute tour of the surfaces a D.Hub portal analyst spends most time on — collections, dashboards, search, and the AI Assistant.5 min
- 02Finding data — Collections and searchLearn the two patterns for locating data — browsing the collection tree and narrowing with global search.6 min
- 03Create your first collection and register a datasetCreate an empty collection and register a full year of regional daily foot-traffic data as a dataset.10 min
- 04Build your first dashboard and widgetUse the foot-traffic dataset from the previous lesson to chart the total people count by region and complete your first dashboard.8 min
- 05Chart types and data configurationLearn the recommended data shape per chart type, when to use Simple mode vs. SQL mode, and compare periods with a full year of data.12 min
- 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.5 min