Course Overview for Analyzing and Visualizing Data in Looker

This instructor-led course provides a focused understanding of securing Generative AI applications using Model Armor. Participants will explore critical security risks in LLM-based systems and learn how to configure and enforce safety mechanisms such as guardrails, templates, confidence thresholds, and policy controls. 

The course covers practical approaches to securing prompts, responses, APIs, and enterprise AI workflows using Model Armor. Learners will gain hands-on experience configuring Model Armor settings, integrating APIs into applications, handling flagged violations, and implementing end-to-end security controls for AI-driven systems. 

Through guided exercises and real-world scenarios, participants will learn how to build secure, reliable, and enterprise-ready Generative AI applications on modern cloud platforms.  

After completing Analyzing and Visualizing Data in Looker, participants will be able to:

  • Define Looker and explain its capabilities for data analysis
  • Navigate and use the Looker user interface effectively
  • Use dimensions, measures, and filters for data exploration
  • Analyze and visualize business data using Looks and dashboards
  • Create advanced metrics using table calculations and pivoting
  • Build dashboards and organize content using boards
  • Share and schedule Looker content with teams and stakeholders
  • Apply visualization and filtering techniques for business analysis
  • Create custom calculations and offset functions for deeper insights
  • Support data-driven decision-making using Looker analytics workflows

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Key Features of Analyzing and Visualizing Data in Looker

  • Modern Analytics Platform Training

  • Hands-On Learning Experience

  • Beginner-Friendly Curriculum

  • Data Exploration and Analysis

  • Dashboard and Visualization Development

  • Advanced Analytics Features

  • Collaboration and Sharing Workflows

  • Google Cloud Analytics Ecosystem Exposure

Who Should Attend Analyzing and Visualizing Data in Looker:

  • Business Users
  • Data Analysts
  • Reporting Professionals
  • Business Intelligence Users
  • Analytics Professionals
  • Cloud Analytics Beginners
  • Professionals interested in data visualization and reporting

Prerequisites for Analyzing and Visualizing Data in Looker

  • No prior Looker experience required.
  • Basic understanding of data concepts is helpful
  • Familiarity with analytics and reporting concepts is beneficial
  • Interest in data visualization and business intelligence workflows

    • Learning objective of Analyzing and Visualizing Data in Looker

    • Understand the Looker analytics platform and its capabilities
    •  Explore and analyze data using dimensions, measures, and filters
    • Create Looks, dashboards, and boards for business reporting
    • Apply advanced calculations and pivoting techniques
    • Share and automate analytics content using Looker
    • Support data-driven decision-making workflows
    • Build practical skills in cloud-based business intelligence and visualization
    • Create effective dashboards and analytical reports for organizations

    Why choose CloudThat as your training partner for Analyzing and Visualizing Data in Looker

    •  Specialized Google Cloud Analytics Expertise  CloudThat specializes in cloud and analytics technologies, delivering industry-focused Google Cloud and Looker training programs with practical implementation experience. 
    •  Industry-Recognized Trainers  Our trainers are certified professionals with expertise in Looker, BigQuery, analytics, business intelligence, and cloud-based data visualization solutions. 
    •  Hands-On Learning Approach  CloudThat emphasizes practical learning through guided labs, real-world reporting scenarios, dashboard creation exercises, and analytics workflows. 
    • Customized Learning Paths  Training paths are designed for business users, analysts, developers, and cloud professionals with varying levels of analytics expertise. 
    • Interactive and Practical Sessions  Sessions include demonstrations, collaborative activities, quizzes, analytics exercises, and visualization walkthroughs. 
    • Career and Certification Support  CloudThat supports learners with project guidance, analytics learning paths, interview preparation, and practical business intelligence skills. 
    • Updated Industry-Relevant Content  Course content is continuously updated to align with the latest advancements in Looker, cloud analytics, business intelligence, and visualization technologies. 
    •  Trusted by Enterprises Worldwide  Thousands of professionals and organizations trust CloudThat for advanced cloud, analytics, data engineering, and business intelligence training programs. 

    Course Outline for Analyzing and Visualizing Data in Looker Download Course Outline

    Lecture Content

    • What is Looker?
    • Looker User Interface
    • Organizing Content with Folders
    • Looker Navigation and Content Management
    • Data Analysis Workflow in Looker

    Learning Objectives

    • Define the value proposition of the Looker platform
    • Explain Looker’s role in the data analysis process
    • Describe Looker’s main user interface components
    • Interpret Looker’s hierarchical folder structure
    • Understand content organization within Looker

    Lab Content

    • Quiz: Introduction to the Looker Platform

    Lecture Content

    • Dimensions in Looker
    • Measures in Looker
    • Using Dimensions and Measures
    • Filtering Dimensions
    • Filtering Measures
    • Understanding Analytical Queries in Looker

    Learning Objectives

    • Define dimensions and measures in Looker
    • Identify where users work with dimensions, measures, and filters
    • Explain how filters contribute to data analysis
    • Understand relationships between database assets and Looker fields
    • Explore SQL-based aggregation concepts behind measures

    Lab Content

    • Demo: Working with Dimensions and Measures
    • Lab: Data Exploration with Filters and Measures
    • Quiz: Data Analysis Building Blocks

    Lecture Content

    • Filtering Looks
    • Introduction to Dashboards
    • Filtering Dashboards
    • Curating Looker Content in Boards
    • Organizing Business Analytics Content

    Learning Objectives

    • Explain how to filter within Looks and dashboards
    • Understand dashboards and boards in Looker
    • Create and organize boards
    • Pin Looks and dashboards to boards
    • Use dashboards for business analytics workflows

    Lab Content

    • Demo: Dashboard Filtering and Content Organization
    • Quiz: Working with Looker Content

    Lecture Content

    • Pivoting Data in Looker
    • Introduction to Table Calculations
    • Types of Table Calculations
    • Writing Table Calculations
    • Offset Functions and Offset Calculations
    • Advanced Data Analysis Techniques

    Learning Objectives

    • Explain the process of pivoting data
    • Create and use table calculations
    • Differentiate between table and offset calculations
    • Build advanced custom metrics
    • Apply calculations for business insights and trend analysis

    Lab Content

    • Demo: Pivoting and Custom Calculations
    • Lab: Advanced Data Exploration and Calculations
    • Quiz: Customizing Explores

    Lecture Content

    • Creating New Looks
    • Creating New Dashboards
    • Designing Effective Visualizations
    • Dashboard Layout and Best Practices

    Learning Objectives

    • Create new Looks and dashboards
    • Understand dashboard creation workflows
    • Build business-focused visualizations
    • Organize analytics content effectively

    Lab Content

    • Quiz: Creating New Looker Content

    Lecture Content

    • Sharing and Scheduling Looks
    • Sharing and Scheduling Dashboards
    • Tile-Level Dashboard Alerts
    • Collaborative Analytics and Reporting
    • Automated Reporting Workflows

    Learning Objectives

    • Share Looks and dashboards with users and teams
    • Configure scheduled reports and alerts
    • Set up tile-level dashboard alerts
    • Choose sharing options for different business scenarios
    • Automate reporting workflows for stakeholders

    Lab Content

    • Quiz: Sharing Looker Data with Others

    Certification details for Analyzing and Visualizing Data in Looker

      CloudThat Course Completion Certificate

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    Course ID: 19533

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    FAQs for Analyzing and Visualizing Data in Looker

    This course is designed for business users, analysts, and professionals interested in analyzing and visualizing data using Looker.

    No prior Looker experience is required.

    The course covers dimensions, measures, filters, dashboards, boards, calculations, sharing workflows, and advanced Looker analytics techniques

    The course duration is approximately 1 day instructor-led or on-demand training.

    Yes, the course includes labs, demos, quizzes, and guided analytics exercises.

    Yes, learners will explore pivoting, table calculations, and offset calculations for advanced analytics workflows.

    Yes, learners will create Looks, dashboards, and boards for business visualization and reporting.

    No deep SQL expertise is required, though basic data understanding is beneficial.

    Yes, the course covers scheduling, sharing, alerts, and collaborative reporting workflows.

    Yes, this is a beginner-level course suitable for professionals new to Looker and business intelligence workflows.

    Enquire Now