Looker Studio Is Free, Immediately Available, and Teaches You Half of What the Explorer Exam Tests
One of the most common questions from Looker Certified Explorer candidates is: "What do I practice in if I don't have access to a Looker instance?" The answer most guides skip: Google Looker Studio (formerly Google Data Studio) is free, requires only a Google account, and shares enough conceptual overlap with Looker to meaningfully supplement your exam preparation. It won't teach you everything — there are real differences — but used strategically, Looker Studio can accelerate your preparation on several key exam domains. Here's exactly how.
First: What's the Difference Between Looker and Looker Studio?
This distinction trips up many candidates. Looker (the exam subject) is Google's enterprise BI platform built around the LookML semantic modeling layer. It connects to a cloud data warehouse (BigQuery, Snowflake, Redshift, etc.), uses LookML to define the data model, and presents data through Explores, Looks, and dashboards. It's a paid enterprise product licensed by Google Cloud.
Looker Studio (formerly Google Data Studio) is Google's free self-service reporting tool. It connects directly to data sources without a semantic modeling layer, uses a drag-and-drop interface for building charts and dashboards, and is accessible to anyone with a Google account at lookerstudio.google.com. It's designed for individual analysts and small teams who need shareable reports without enterprise infrastructure.
The naming is confusing — Google renamed Data Studio to Looker Studio in 2022 as part of a broader rebranding of its analytics tools, despite the two products being architecturally distinct. Don't let the name make you think they're the same product.
What Looker Studio Can Actually Teach You for the Explorer Exam
Despite the differences, Looker Studio builds genuinely relevant skills for several Explorer exam domains:
Dashboard Design and Layout: Building dashboards in Looker Studio teaches you how to organize visualizations, create text annotations, adjust chart sizing and color, and build a coherent report layout. The Explorer exam tests your ability to build effective Looker dashboards, and the visual thinking you develop in Looker Studio transfers directly.
Filter Mechanics: Looker Studio has filter controls, date range controls, and cross-filtering between charts. While the underlying mechanism differs from Looker's filter system, practicing filter logic in Looker Studio helps you develop intuition for how filters interact with visualizations — intuition you'll apply when studying Looker's more complex filter architecture.
Visualization Types and When to Use Them: Both tools share a similar visualization vocabulary: bar charts, line charts, scatter plots, pie charts, tables, scorecards. Practicing when to use a line chart versus a bar chart, when a table is more informative than a chart, and how to handle time-series data are skills you can develop in Looker Studio and apply on the Explorer exam.
Data Connection Concepts: Looker Studio connects to many of the same data sources Looker does — BigQuery, Google Sheets, Google Analytics, and others. Working with data connections in Looker Studio builds familiarity with concepts like data freshness, connection configuration, and credential-based access that appear in Explorer exam questions about data source management.
What Looker Studio Cannot Teach You
Be clear about the limits. Looker Studio will not teach you:
- LookML concepts: Looker Studio has no semantic modeling layer. There are no dimensions, measures, views, or Explores in Looker Studio. All of the LookML-specific content on the Explorer exam must come from studying Looker directly or studying LookML documentation.
- Explore-based analysis: The Explore interface — selecting fields from the left panel, applying pivots, running table calculations within a query context — is unique to Looker and has no equivalent in Looker Studio.
- Looks and the Looker content library: Saving Looks, using the Look library, sharing content through Looker folders, and managing dashboard tiles are Looker-specific workflows with no Looker Studio analog.
- Scheduling and delivery: Looker's content scheduling (email delivery, webhook delivery, conditional alerts) is a specific exam topic with no counterpart in Looker Studio's sharing model.
A Practical Looker Studio Practice Routine for Explorer Candidates
Here's how to use Looker Studio productively without wasting time on content that won't appear on the exam:
Connect to Google Sheets: Create a simple dataset in Google Sheets — sales data, customer records, or whatever you're familiar with — and connect it to Looker Studio. Build five different reports from this data. Vary the visualization types. Add date range and metric selector controls. This gives you concrete dashboard-building experience that maps to Explorer exam questions on dashboard design.
Practice Filter Interactions: Build a Looker Studio report with three or four charts and add filter controls. Observe how filtering one chart affects others. Change the filter scope to apply to some charts but not others. This filter interaction behavior is conceptually similar to Looker's cross-filter feature and dashboard filter scoping — practicing it in Looker Studio builds useful intuition.
Connect to BigQuery (Free Tier): If you have a Google Cloud account (free tier is sufficient), connect Looker Studio directly to a BigQuery public dataset. Google maintains several public datasets including Stack Overflow, US Census data, and weather data. Querying BigQuery through Looker Studio familiarizes you with the BigQuery-Looker relationship and with how field types and schemas appear in a BI context.
Rebuild Existing Reports: Find a public Looker Studio template in the Google template gallery and recreate it from scratch using your own data. This forces you to make active decisions about visualization type, filter placement, and layout — rather than passively consuming someone else's design choices.
Filling the Gaps: Accessing Looker Directly
Looker Studio is a supplement, not a replacement. For the LookML concepts, Explore interface practice, and content management workflows that make up a substantial portion of the exam, you need access to Looker itself. Options include:
- Employer access: If your employer uses Looker, request access to a development or sandbox instance. Even read-only access to an existing Explore is valuable for building interface familiarity.
- Google Cloud free trial: Google Cloud's 90-day free trial includes Looker access at certain configuration levels. Check current availability through the Google Cloud certification resources.
- Qwiklabs and Google Cloud Skills Boost: Google provides hands-on Looker labs through its Cloud Skills Boost platform (some are free, some require credits). These structured labs walk you through specific Looker workflows in a live environment.
The Right Prep Strategy Combines Both Tools
Think of Looker Studio as your free, always-available practice environment for dashboard design, visualization, and filter concepts. Think of direct Looker access as where you practice Explores, LookML concepts, and content management. Together, they cover the full breadth of the Explorer exam — neither alone is sufficient.
SimpuTech's Looker Explorer AI tutor supplements your hands-on practice with scenario-based exam questions, LookML concept explanations, and adaptive drilling on the areas where Explorer candidates most often lose points. Start practicing free at SimpuTech →
Related reading: Looker Certified Explorer Exam: What to Expect and LookML Basics Every Explorer Candidate Should Know.
Certification details verified against cloud.google.com/learn/certification as of March 2026. Requirements are subject to change — confirm current details before registering.
Ready to put this into practice?
SimpUTech's Looker Certified Explorer AI Study Coach gives you personalized practice, instant explanations, and a study plan that adapts to your level.
Start Your Free 3-Day Trial