Course Outline:
Introduction to Looker:
Overview of Looker and its capabilities
Understanding Looker’s architecture and components
Setting up and navigating the Looker interface
Key concepts: Models, Explores, Looks, and Dashboards
Getting Started with Looker:
Creating and managing Looker projects
Connecting to data sources (SQL databases, Google BigQuery, etc.)
Basic data import and configuration
Understanding Looker’s data model and schema
Data Modeling in Looker:
Introduction to LookML (Looker Modeling Language)
Creating and configuring LookML models and views
Defining dimensions, measures, and calculations
Implementing relationships and joins in LookML
Exploring and Analyzing Data:
Using the Explore interface to analyze data
Creating and saving Looks (ad hoc reports)
Applying filters and aggregations
Building custom visualizations and charts
Creating and Designing Dashboards:
Designing interactive dashboards with Looker
Adding and configuring dashboard tiles and widgets
Using dashboard filters and parameters
Sharing and embedding dashboards
Advanced Data Exploration:
Using advanced Looker functions and calculations
Implementing data blending and transformations
Creating custom visualizations with JavaScript and HTML
Leveraging Looker’s API for advanced integrations
Data Governance and Security:
Implementing user access controls and permissions
Managing data security and privacy
Setting up data governance policies in Looker
Auditing and monitoring user activity
Looker Extensions and Integrations:
Integrating Looker with other tools (Google Sheets, Slack, Salesforce)
Using Looker Marketplace for additional extensions
Customizing Looker with third-party applications
Leveraging Looker’s API for custom integrations
Best Practices and Optimization:
Best practices for Looker modeling and design
Optimizing Looker performance and query efficiency
Troubleshooting common issues and errors
Ensuring data accuracy and consistency
Real-World Applications and Case Studies:
Case studies from different industries (finance, e-commerce, healthcare)
Practical exercises and projects
Application of Looker skills to solve real-world business problems
Skills Gained:
Proficiency in using Looker for data analysis and visualization
Ability to create and manage LookML models and views
Skills in designing interactive dashboards and custom visualizations
Knowledge of data governance and security in Looker
Competence in integrating Looker with other tools and platforms
Target Audience:
Data analysts
Business analysts
BI professionals
Data engineers
IT professionals
Students and professionals interested in data analytics and business intelligence
Course Logistics:
Location: Training centers, educational institutions, or online platforms
Duration: Typically ranges from a few days to several weeks, depending on the course depth and schedule
Format: Classroom-based, online, or hybrid