Description

Introduction

Looker is a modern Business Intelligence (BI) and data analytics platform that enables users to explore and analyze data in real time. It also allows the easy creation of dashboards and reports, making data more accessible to business users. Moreover, Looker uses LookML for data modeling, which ensures consistency and proper data governance. In addition, it integrates seamlessly with cloud data warehouses. As a result, organizations can make faster, more informed decisions based on reliable data.

Learner Prerequisites

• Basic understanding of data and databases
• Familiarity with SQL fundamentals
• Awareness of Business Intelligence concepts
• Exposure to any reporting or BI tool (optional)
• Interest in data analysis and visualization

Table of Contents

1. Introduction to Looker and BI Navigation

1.1 Overview of Business Intelligence tools and usage
1.2 Introduction to Looker platform and its purpose
1.3 Understanding Looker interface components
1.4 Navigation basics such as menus, folders, and boards
1.5 User roles and permissions overview

2. Exploring Looker Interface and Workspace

2.1 Home page and main navigation panel
2.2 Managing folders and organizing content
2.3 Understanding Looks and Explores clearly
2.4 Searching and accessing saved content easily
2.5 Personalizing the user workspace

3. Introduction to Explores in Looker

3.1 What Explores are and how they work
3.2 Understanding Views, Dimensions, and Measures
3.3 Selecting fields and building queries step by step
3.4 Applying filters and sorting data effectively
3.5 Running and modifying queries as needed

4. Data Analysis using Explores

4.1 Performing drill-down and drill-through analysis
4.2 Using pivoting for deeper insights
4.3 Saving queries as Looks for reuse
4.4 Sharing and reusing Explores across teams
4.5 Following best practices for data exploration

5. Creating and Managing Looks

5.1 What Looks are and why they are important
5.2 Saving and editing Looks efficiently
5.3 Organizing Looks in folders properly
5.4 Sharing Looks with team members
5.5 Updating and maintaining Looks over time

6. Introduction to Dashboards

6.1 Understanding dashboards and their components
6.2 Types of dashboards available in Looker
6.3 Adding tiles and visualizations effectively
6.4 Using filters and controls for interaction
6.5 Designing clear and useful dashboards

7. Building Interactive Dashboards

7.1 Creating dashboards from Looks easily
7.2 Adding multiple visual elements
7.3 Configuring dashboard filters properly
7.4 Scheduling and sharing dashboards
7.5 Embedding dashboards for broader use

8. Data Visualization Basics in Looker

8.1 Overview of visualization options
8.2 Choosing the right chart types carefully
8.3 Customizing charts and layouts clearly
8.4 Improving readability and clarity of visuals
8.5 Applying visualization best practices

9. Collaboration and Sharing in Looker

9.1 Sharing reports and dashboards effectively
9.2 Managing access and permissions properly
9.3 Scheduling data deliveries on time
9.4 Exporting data and reports when needed
9.5 Using collaboration features and workflows

10. Best Practices for Beginners

10.1 Navigating efficiently within Looker
10.2 Organizing content in a structured way
10.3 Writing efficient queries for analysis
10.4 Avoiding common mistakes early
10.5 Improving performance and usability

Conclusion

In conclusion, this training provides a practical introduction to Looker navigation, Explores, and dashboards. Moreover, it enables learners to explore data and create reports more effectively. In addition, participants gain hands-on experience in building interactive dashboards and organizing analytical content. As a result, they can confidently share insights across teams. Ultimately, this course builds a strong foundation for further learning in Business Intelligence and data analytics.