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 expected to deliver dashboards that match business numbers every time, our Looker Training in Hyderabad at Ascents Learning is a practical way to get there. We focus on the real skill behind Looker—LookML modeling—so you can build a governed reporting layer instead of patching reports every week.
This Looker Training in Hyderabad starts with how Looker connects to a warehouse and how explores are built. Then we move into day-to-day work: creating views, writing dimensions and measures, setting up joins without duplicate counts, and using derived tables when data logic gets complex. You’ll also build stakeholder-ready dashboards with filters, drill-downs, schedules, and alerts—so reporting becomes self-serve for teams.
What you’ll learn in this Looker course
- Looker basics: projects, folders, explores, looks, dashboards
- LookML: views, explores, joins, timeframes, measures
- Modeling best practices to keep metrics consistent
- Dashboard building: tiles, filters, drill paths, sharing & scheduling
- Validation, QA checks, and performance-friendly modeling tips
Who should join
Data analysts, MIS/reporting professionals, SQL developers, BI teams, and freshers in Hyderabad aiming for BI/analytics roles.
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)CopyCopyCopyCopy
- 1.2Looker vs Looker Studio (where each fits)CopyCopyCopyCopy
- 1.3Typical analytics workflow: warehouse → model → explore → dashboardCopyCopyCopyCopy
- 1.4Key terms: Explore, View, Model, LookML, Dimensions, MeasuresCopyCopyCopyCopy
- 1.5Tour Looker UI, open an Explore, run basic queries, save looksCopyCopyCopyCopy
- Module 2: Setup, Projects, and Looker IDE5
- 2.1Looker instance structure, folders, spaces, content governanceCopyCopyCopyCopy
- 2.2Looker Projects: why they matterCopyCopyCopyCopy
- 2.3Looker IDE basics: files, folders, validation, content checkCopyCopyCopyCopy
- 2.4Git connection basics (concept + workflow)CopyCopyCopyCopy
- 2.5Create/open a project, run validation, fix simple errorsCopyCopyCopyCopy
- Module 3: Connecting Data (Warehouse + Connections)4
- 3.1Connections: how Looker talks to DB/warehouseCopyCopyCopyCopy
- 3.2Understanding schemas, tables, views in a warehouseCopyCopyCopyCopy
- 3.3Connection best practices (naming, permissions, read-only users)CopyCopyCopyCopy
- 3.4Test connection (demo environment), preview tables, identify keysCopyCopyCopyCopy
- Module 4: LookML Foundations (Model + View + Explore)4
- Module 5: Dimensions & Measures That Make Sense4
- Module 6: Time Intelligence (Dates Done Properly)4
- Module 7: Joins & Relationships (Avoid Wrong Numbers)4
- Module 8: Explores That Users Love (Clean, Governed, Fast)4
- 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
- Module 12: Governance + Metric Definitions (Single Source of Truth)4
- Module 13: Access Control (Roles, Groups, Row-Level Control)4
- Module 14: Performance + QA (Make It Reliable)4
- 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.
