Requirements
- Basic understanding of tables, columns, and joins
- Comfort with Excel-level data concepts (filters, pivots are a plus)
- Basic SQL is helpful (we’ll guide you where needed)
- Laptop + stable internet connection
- Access to a sample dataset/warehouse (provided for practice)
- Willingness to do weekly hands-on assignments
Features
- Live Project-Based Training
- Expert-Led Sessions
- Flexible Learning Options
- Interactive Learning
- Comprehensive Study Material
- Globally Recognized Certification
- One-on-One Mentorship
Target audiences
- Data analysts and BI analysts
- MIS/Reporting professionals
- SQL developers moving into BI
- Data engineers supporting analytics teams
- Product analysts and growth analysts
- Finance/operations analysts building reports
- Freshers aiming for BI roles
- Teams migrating to Google Looker / governed BI
If you’re working in analytics in Dubai, Abu Dhabi, or anywhere in the UAE, you already know the challenge: dashboards get built fast, but numbers don’t stay consistent. Our Looker Training in UAE at Ascents Learning focuses on the part that fixes that problem—LookML modeling and governed metrics.
This Looker Training in UAE teaches you how to build clean views, design reliable explores, and set up joins correctly so totals don’t inflate. You’ll learn to define measures once and reuse them across teams, which is what makes Looker valuable in real companies. On the delivery side, you’ll build stakeholder-ready dashboards with filters, drill-downs, scheduled deliveries, and alerts—so reporting becomes self-serve instead of a daily firefight.
We keep the training hands-on: weekly assignments, practical troubleshooting, and a capstone project where you deliver a complete model + dashboard based on a business scenario.
What you’ll learn
- Looker fundamentals, projects, explores, content structure
- LookML: dimensions, measures, timeframes, joins, derived tables
- Dashboards: tiles, filters, drill paths, scheduling & sharing
- Validation, QA checks, and performance-friendly modeling basics
- For job-focused Looker Training in UAE, train with Ascents Learning.
Curriculum
- 15 Sections
- 56 Lessons
- 22 Hours
Expand all sectionsCollapse all sections
- Module 1: Looker Basics + BI Workflow5
- 1.1What Looker is (semantic layer + governed BI)CopyCopyCopyCopyCopyCopyCopyCopy
- 1.2Looker vs Looker Studio (where each fits)CopyCopyCopyCopyCopyCopyCopyCopy
- 1.3Typical analytics workflow: warehouse → model → explore → dashboardCopyCopyCopyCopyCopyCopyCopyCopy
- 1.4Key terms: Explore, View, Model, LookML, Dimensions, MeasuresCopyCopyCopyCopyCopyCopyCopyCopy
- 1.5Tour Looker UI, open an Explore, run basic queries, save looksCopyCopyCopyCopyCopyCopyCopyCopy
- Module 2: Setup, Projects, and Looker IDE5
- 2.1Looker instance structure, folders, spaces, content governanceCopyCopyCopyCopyCopyCopyCopyCopy
- 2.2Looker Projects: why they matterCopyCopyCopyCopyCopyCopyCopyCopy
- 2.3Looker IDE basics: files, folders, validation, content checkCopyCopyCopyCopyCopyCopyCopyCopy
- 2.4Git connection basics (concept + workflow)CopyCopyCopyCopyCopyCopyCopyCopy
- 2.5Create/open a project, run validation, fix simple errorsCopyCopyCopyCopyCopyCopyCopyCopy
- Module 3: Connecting Data (Warehouse + Connections)4
- 3.1Connections: how Looker talks to DB/warehouseCopyCopyCopyCopyCopyCopyCopyCopy
- 3.2Understanding schemas, tables, views in a warehouseCopyCopyCopyCopyCopyCopyCopyCopy
- 3.3Connection best practices (naming, permissions, read-only users)CopyCopyCopyCopyCopyCopyCopyCopy
- 3.4Test connection (demo environment), preview tables, identify keysCopyCopyCopyCopyCopyCopyCopyCopy
- Module 4: LookML Foundations (Model + View + Explore)4
- Module 5: Dimensions & Measures That Make Sense4
- 5.1Dimension types: string, number, yesno, date/timeCopyCopyCopyCopyCopyCopyCopyCopy
- 5.2Measures: count, sum, avg, count_distinctCopyCopyCopyCopyCopyCopyCopyCopy
- 5.3Formatting, labels, value_format, group_labelCopyCopyCopyCopyCopyCopyCopyCopy
- 5.4When to create measures vs calculations in ExploreCopyCopyCopyCopyCopyCopyCopyCopy
- Module 6: Time Intelligence (Dates Done Properly)4
- 6.1date vs datetime fieldsCopyCopyCopyCopyCopyCopyCopyCopy
- 6.2timeframes and common reporting needsCopyCopyCopyCopyCopyCopyCopyCopy
- 6.3Period comparisons basics (what’s possible + workarounds)CopyCopyCopyCopyCopyCopyCopyCopy
- 6.4Handling fiscal calendars (approach + modeling hints)CopyCopyCopyCopyCopyCopyCopyCopy
- Module 7: Joins & Relationships (Avoid Wrong Numbers)4
- 7.1Primary key, foreign key thinkingCopyCopyCopyCopyCopyCopyCopyCopy
- 7.2Join types: left_outer, inner, full_outer (when to use)CopyCopyCopyCopyCopyCopyCopyCopy
- 7.3Relationship parameter: one_to_one, one_to_many, many_to_oneCopyCopyCopyCopyCopyCopyCopyCopy
- 7.4Fanout problem and how to catch itCopyCopyCopyCopyCopyCopyCopyCopy
- Module 8: Explores That Users Love (Clean, Governed, Fast)4
- 8.1Explore design principles: default fields, hiding noiseCopyCopyCopyCopyCopyCopyCopyCopy
- 8.2Field organization: group labels, views labelingCopyCopyCopyCopyCopyCopyCopyCopy
- 8.3Always_filter, always_join, access_filter conceptsCopyCopyCopyCopyCopyCopyCopyCopy
- 8.4Drill fields and link featuresCopyCopyCopyCopyCopyCopyCopyCopy
- Module 9: Derived Tables (SQL Derived Table + PDT Intro)3
- Module 10: Reusable LookML Patterns (Write Less, Scale More)3
- Module 11: Building Dashboards (Not Just Pretty Tiles)4
- 11.1Looks vs Dashboards vs TilesCopyCopyCopyCopyCopyCopyCopyCopy
- 11.2Dashboard filters (field filters, filter-only fields)CopyCopyCopyCopyCopyCopyCopyCopy
- 11.3Cross-filtering, drill-down workflowCopyCopyCopyCopyCopyCopyCopyCopy
- 11.4Layout + storytelling: what stakeholders expectCopyCopyCopyCopyCopyCopyCopyCopy
- Module 12: Governance + Metric Definitions (Single Source of Truth)4
- 12.1Defining “Revenue”, “Active Users”, “Conversion” properlyCopyCopyCopyCopyCopyCopyCopyCopy
- 12.2Avoiding duplicate metrics across teamsCopyCopyCopyCopyCopyCopyCopyCopy
- 12.3Naming/label rules and documentation in LookMLCopyCopyCopyCopyCopyCopyCopyCopy
- 12.4Content governance: spaces, folders, accessCopyCopyCopyCopyCopyCopyCopyCopy
- Module 13: Access Control (Roles, Groups, Row-Level Control)4
- 13.1Roles & groups overviewCopyCopyCopyCopyCopyCopyCopyCopy
- 13.2Model access vs content accessCopyCopyCopyCopyCopyCopyCopyCopy
- 13.3Row-level security concepts (user attributes + access_filter)CopyCopyCopyCopyCopyCopyCopyCopy
- 13.4Safe patterns for region/team-based data accessCopyCopyCopyCopyCopyCopyCopyCopy
- Module 14: Performance + QA (Make It Reliable)4
- 14.1Query performance basics: what affects runtimeCopyCopyCopyCopyCopyCopyCopyCopy
- 14.2Caching behavior overviewCopyCopyCopyCopyCopyCopyCopyCopy
- 14.3Common modeling mistakes that slow queriesCopyCopyCopyCopyCopyCopyCopyCopy
- 14.4QA checklist: validation, content checks, testing totalsCopyCopyCopyCopyCopyCopyCopyCopy
- Module 15: Capstone Project (End-to-End Delivery)0
FAQ
This course focuses on Google Looker (LookML + governed BI), not only Looker Studio.
Not strong, but basic SQL helps. We cover the SQL you’ll actually use in LookML work.
Yes—dashboards, explores, and a capstone delivery.
Yes, LookML is the core of the training.
Yes, if you’re comfortable with basic data concepts and ready for hands-on work.
Typical business reporting setups: sales, ops, support, or finance-style analytics.
Definitely—especially for modeling, governance, and performance decisions.
Yes—roles/groups basics and practical governance patterns.
We cover embedding concepts and common approaches (implementation depends on your stack).
You’ll be able to model data in LookML, publish governed explores, and ship dashboards confidently.
