Looker Corporate Training

Agree the Looker environment, release capabilities, database dialect and development workflow before delivery. Features and permissions vary, so labs should use current documentation and the selected setup. Keep Looker and Looker Studio terminology distinct. View the curriculum.

Analysts, BI developers, data engineers and business users who explore, model or consume Looker data are the main audience. Basic SQL helps but is not required. Prior LookML experience is not needed, and modeling depth can reflect participant roles.

There is no minimum participant requirement, so teams of 5 to 10 can be accommodated. Edstellar prefers 20–25 participants in a virtual batch and limits in-person batches to 30. Larger rollouts can be organized into role-based or regional cohorts.

A pilot can be discussed before a wider rollout. Select a cohort that represents the roles and experience levels of the wider audience, and agree success criteria before delivery. Review relevance, pacing, practice and assessment results before expanding. Confirm the pilot scope and fees rather than assuming a free trial.

Yes. Labs can reflect approved datasets, metrics, model conventions and governance rules. Use sanitized data and a development project. Do not publish dashboards, expand access or schedule external deliveries from training without authorization. To discuss a tailored program for your team, email contact@edstellar.com.

The approximately 24-hour course supports onsite, live virtual or hybrid delivery. Confirm Looker permissions, warehouse access and development space before scheduling. Specify offsite, licensing, query-consumption and additional setup costs separately. Compare delivery formats to choose a setup that fits your team.

Edstellar can coordinate regional data teams with language and time-zone arrangements agreed in advance. Standardize metric definitions while adapting local reporting needs. Data residency, access and scheduled-delivery restrictions must remain effective across cohorts.

Organizations can improve metric consistency, model-review quality and confidence in self-service reporting. Track conflicting definitions, validation issues and dashboard rework. Training cannot guarantee that every source dataset is accurate or every dashboard improves a business decision.

Readiness tasks can reveal gaps in dimensions, measures, join behavior or dashboard interpretation. Labs address those gaps before advanced modeling and distribution. The capstone checks whether participants can explain the numbers and the audience's permitted access. To identify which Looker skills your team should develop first, request a training needs analysis.

Teams can use existing Explores, development tools and dashboards through shared modeling and content-review conventions. The course connects features to governed analytics delivery. Production model, access or schedule changes require normal review and approval.

Examples include a consistent sales metric, an operational dashboard or a governed view for a business function. Define the business question, grain, metric logic and audience before building. A chart should not conceal missing data or an inappropriate join.

Outcomes include exploring data, defining LookML views and measures, managing joins and building dashboards. Derived tables, distribution and governance are also covered. Map these to analytics competencies and assess model correctness, clarity and access design. View the learning outcomes.

LookML practice covers project structure, views, dimensions, measures and Explores with joins. Validation helps identify model and content issues. Teams should also check grain and aggregation behavior against known results rather than rely only on a validator.

The capstone produces a modeled Looker solution and dashboard with an agreed distribution or alert design. Confirm project access, supporting guides and reuse or Train-the-Trainer before delivery. Publishing or sharing outside the lab requires authorized review.

Advanced modeling covers derived tables, persistent derived tables, datagroups, parameters and templated filters. Learners examine freshness, rebuild behavior and access implications. Exact features and SQL behavior depend on the environment and database dialect.

The course includes dashboard filters, storytelling, alerts, schedules and content governance, with introductory embedding or SSO concepts. Detailed integration and permission changes should be separately scoped. Scheduled delivery must respect the recipient's authorized data access.

Agree measures for metric consistency, model defects, dashboard rework and appropriate self-service use. Compare similar reporting tasks and account for source-data changes. Financial ROI requires validated time or decision-cost evidence rather than dashboard usage alone.

Post-training support, coaching and retrospectives are paid services customized to client requirements. Agree the format, duration and fees in the proposal. Participants do not receive free post-training access to the trainer. A retrospective, including a two-hour session if requested, is chargeable rather than automatically included.

Discovery establishes business questions, warehouse, Looker setup, roles and safe data access. Delivery moves through exploration, modeling and dashboards to a governed-delivery capstone. Assessments and the post-training report identify capability and development priorities.

Edstellar holds ISO 9001:2015 quality-management and ISO 27001:2022 information-security certifications. Request current certificates and scope for procurement review. These management-system certifications are separate from course accreditation or a third-party product certification.

Pricing for Looker training depends on scope, cohort size, duration, delivery format and customization. Email contact@edstellar.com to request an itemized quote showing the total training fee and any additional costs for travel, venues or follow-on support, where required. Volume discounts for larger engagements are considered case by case. View pricing details.

Participants who complete the Looker training receive an Edstellar Certificate of Course Completion view details. The certificate confirms attendance and engagement with the full program. It can be shared with employers or added to professional development records. The certificate is issued directly by Edstellar and is not an externally accredited qualification. For full details on what it covers and how it is issued, see the Certificate of Completion section on this page.