Looker Training
Looker is a business intelligence (BI) and data exploration tool that allows users to analyze, visualize, and share data insights. Looker training typically focuses on teaching users how to leverage Looker’s powerful features for data analysis and dashboard creation.

Why should you choose Nisa For Looker Training?
Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.
Job Assistance
If you face any problem while working on Looker Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.
The Process we follow for our Online Job Support Service:
- We receive your inquiry for Online Job
- We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
- If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
- We will fix the timing for Online Job Support as mutually agreed by you and our consultant.
Course Information
Looker Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.
COURSE CONTENT :
1. Introduction to Looker
- Overview of Looker and its capabilities
- Basic concepts: Models, Explores, Views, and Dashboards
- Getting around Looker’s interface
- Connecting Looker to databases and data sources
- Understanding Looker’s data structure (LookML)
2. Looker Interface and Basic Navigation
- How to use the Looker homepage and main navigation
- Understanding the Explore page and the different options for querying data
- Introduction to filtering, sorting, and visualizing data
- Saving and sharing queries
3. LookML Basics
- Introduction to LookML, Looker’s modeling language
- Defining dimensions, measures, and views in LookML
- Writing simple LookML code for custom fields
- Using LookML to define relationships between tables (joins)
- How to test and validate LookML models
4. Creating and Customizing Visualizations
- Understanding Looker’s visualization options (charts, tables, maps, etc.)
- Customizing charts and visualizations (colors, labels, axes)
- Best practices for selecting the right visualization types for your data
- Interactivity: drilldowns, pivoting, and filtering in dashboards
5. Advanced Data Exploration
- Advanced filtering techniques (compound filters, relative date filters)
- Creating dynamic dashboards that update based on user input
- Building custom measures and calculations within Looker
- Leveraging Looker’s LookML and SQL Runner for advanced queries
6. Dashboards and Reports
- Building and organizing dashboards in Looker
- Creating tiles (widgets) for visualizing data in dashboards
- Sharing dashboards and reports with others
- Setting up scheduled email reports and alerts
7. Data Governance and Security
- Role-based access control (RBAC) in Looker
- Managing permissions for different users (viewers, developers, admins)
- Secure data sharing within Looker (using permissions and filters)
8. Collaboration and Sharing
- Collaborating with team members on Looker
- Commenting on reports and sharing insights
- Integrating Looker with other tools (Slack, Google Sheets, etc.)
- Using Looker’s API for automation or external integrations
9. Advanced Features
- Building complex LookML models and custom calculations
- Leveraging Looker extensions and custom visualizations
- Automating data workflows with Looker actions
- Exploring Looker’s machine learning features (if applicable)