Description

Introduction

Looker is a modern Business Intelligence (BI) platform. It helps users explore and visualize data in real time. It uses LookML to define business logic. In addition, it ensures consistent metrics across teams.

Moreover, Looker supports interactive dashboards and reports. As a result, users can make faster decisions. Furthermore, it improves data accuracy and usability. Therefore, organizations gain better insights.

Learner Prerequisites

• Basic understanding of SQL and relational databases
• Familiarity with Looker interface and navigation
• Knowledge of basic data visualization concepts
• Understanding of dimensions, measures, and filters
• Exposure to BI tools is helpful

Table of Contents

1. Introduction to Looker Dashboards and Visualizations

1.1 Overview of Looker UI and Navigation
1.2 Understanding Explores and Data Sources
1.3 Basics of Dimensions, Measures, and Filters
1.4 Introduction to Visualizations
1.5 Dashboard Types and Use Cases

2. Building Basic Visualizations

2.1 Creating Tables, Charts, and Graphs
2.2 Customizing Visualization Settings
2.3 Using Filters and Parameters
2.4 Sorting and Formatting Data
2.5 Saving and Sharing Looks

3. Designing Interactive Dashboards

3.1 Creating and Managing Dashboards
3.2 Adding Tiles and Components
3.3 Using Dashboard Filters
3.4 Linking Tiles and Cross-Filtering
3.5 Layout Design and Organization

4. Advanced Visualization Techniques

4.1 Using Custom Fields and Calculations
4.2 Applying Conditional Formatting
4.3 Drilldowns and Data Exploration
4.4 Dynamic Visualizations with Parameters
4.5 Advanced Chart Creation

5. Enhancing Interactivity

5.1 Using Cross-Filters and Actions
5.2 Adding URL Actions and Links
5.3 Embedding Interactive Elements
5.4 Personalization with User Attributes
5.5 Real-Time Interaction Techniques

6. Dashboard Performance Optimization

6.1 Optimizing Queries for Speed
6.2 Using Filters and Caching Efficiently
6.3 Reducing Dashboard Load Time
6.4 Managing Large Data Sets
6.5 Monitoring Performance

7. Dashboard Design Best Practices

7.1 Data Visualization Principles
7.2 Choosing the Right Charts
7.3 Improving User Experience
7.4 Maintaining Consistency
7.5 Avoiding Common Mistakes

8. Collaboration and Sharing

8.1 Sharing Dashboards and Looks
8.2 Scheduling Reports and Alerts
8.3 Managing Access and Permissions
8.4 Content Versioning
8.5 Team Collaboration Features

9. Embedding and Integration

9.1 Embedding Dashboards
9.2 Using Looker APIs
9.3 Integration with Other Tools
9.4 Custom Extensions
9.5 Secure Embedded Analytics

10. Real-World Use Cases and Projects

10.1 Business Performance Dashboards
10.2 Sales and Marketing Analytics
10.3 Financial Reporting Dashboards
10.4 End-to-End Dashboard Projects
10.5 Capstone Project

Conclusion

In conclusion, this training builds strong dashboard skills. Moreover, it improves visualization and design knowledge. Therefore, learners can create interactive dashboards. As a result, they deliver clear and useful insights. Furthermore, they can support better business decisions.