GoodData front-end training focuses on empowering business users to explore data and develop insights using the GoodData portal. These courses are delivered in GoodData workspaces (projects) that include videos for guided demonstrations as well as exercises to provide hands-on experience within the GoodData platform.
Participants can work at their own pace and return to the review the material for a full year.
These eLearning courses are offered free of charge to direct GoodData customers. To enroll, contact your GoodData Account Manager or email email@example.com.
If you are using GoodData through Zendesk or one of our partners, such as TOTVS or Keboola, contact the account manager for your primary vendor to obtain training.
Front-End Training offers the following modules:
Front-End Essentials (eLearning)
The course introduces the GoodData workspace and demonstrates how to use Analytical Designer, KPIs, reports, and dashboards. After viewing this course and completing the exercises, participants will have the skills they need to create Analytical Designer Insights, KPIs, reports, and dashboards within their own project workspaces.
The Front End Essentials course covers the following topics:
- Introduction to the GoodData Platform
- Analytical Designer
- KPI Dashboards
- Creating Reports
- Creating Dashboards
- GoodData administrators
- report/dashboard authors
- Analytical Designer and KPI explorers
- analysts (viewers)
Expected duration: 3 hours (self-paced)
MAQL Metrics (eLearning)
The MAQL Metrics training course builds on the information from the Front End Essentials course. The "code by example" approach is used for explaining the Multi-Dimensional Analytical Query Language (MAQL) used in the GoodData application.
The MAQL Metrics course covers the following topics:
- Introduction to MAQL
- Basic Aggregation
- Compound Metrics and Filters
- Using the BY Clause
- CASE Metrics and Workarounds
Target audience: Business analysts and administrators who will be primarily focused on maintaining GoodData workspaces and creating essential metrics and reports.
Expected Duration: 3 hours (self-paced)