Analyze and present data — Associate Data Practitioner

The official GCP documentation our Analyze and present data practice questions are cited to. Review the primary sources, then practise.

Official references for this objective

Google Cloud — Looker business intelligence platform embedded analytics | Google Cloud

By defining business logic in LookML, you create the definitive source of truth for your metrics—whether they are powering a chart or an AI agent.
Google Cloud — BigQuery | AI data platform | EDW

Democratize insights with the Conversational Analytics Agent , allowing anyone to ask complex questions in plain language and receive grounded, context-aware answers.
Google Cloud — Data Cloud Agents: Automating workflows and insights | Google Cloud

The Database Observability Agent proactively monitors database fleet performance, identifies anomalies
Google Cloud — Data Science Solutions | Google Cloud

Start with a high-level goal in plain English, and the data science agent generates a detailed plan covering all aspects of data science modeling
Google Cloud — Data Studio: Business Insights Visualizations | Google Cloud

Directly connect to more than 1,400 data sources, including Google Sheets, Google Ads, BigQuery, and Google Analytics
Google Cloud — Datasets and pre-built solutions | Google Cloud

Use case: Population growth trends as inputs to facility/site selection analysis
Google Cloud — Earth Engine | Google Cloud

For code-free, interactive visualizations, Earth Engine Apps are dynamic, shareable user interfaces for Earth Engine analyses