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    Looker Training Course Online

    BY
    Mindmajix Technologies

    Brochure Enquire
    Mode

    Online

    Fees

    ₹ 10400 13000

    Important Dates

    01 Feb, 2025

    Course Commencement Date

    04 Feb, 2025

    Course Commencement Date

    08 Feb, 2025

    Course Commencement Date

    11 Feb, 2025

    Course Commencement Date

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based
    Frequency of Classes Weekdays, Weekends

    Course and certificate fees

    Fees information
    ₹ 10,400  ₹13,000
    certificate availability

    Yes

    certificate providing authority

    Mindmajix Technologies

    The syllabus

    Getting Started with Looker

    • Navigate to Explores and Saved Content 
    • Create Looks
    • Work with Dimensions and Measures
    • Exploring Data in Looker
    • Build and Save Reports

    Introduction to Data Modeling

    • Dimensions and fact tables
    • Dimensional model
    • Star and SnowFlake schema
    • Understanding the data source

    Getting started with LookML

    • Understanding Looker Project Structure
    • How to create a view
    • How to create a model
    • Building Explores
    • How looker generates SQL
    • SQL runner basics
    • Editing and Validating LookML
    • Data security in looker
    • Model Parameters
    • Explore Parameters
    • View Parameters
    • Join Parameters
    • Field Parameters
    • Reusing existing dimensions
    • Measures
    • Sets

    Building Visualizations

    Building Visualizations
    • Creating user-defined dashboard
    • Creating LookML Dashboard
    • Create Different Visualizations
      • Table
      • Bar Chart
      • Scatter plot
      • Line Chart
      • Area
      • Pie Chart
      • Single Value(KPI)
      • Box Plot
      • Funnel Chart
      • Donut Multiples

    Advanced LookML Concepts

    • Derived tables
    • Reusing code with extends
    • Table calculations
    • Liquid variables and Parameters
    • Filtering Explore data
    • Always filter on Explore
    • Always where on explore
    • Conditional filter
    • Content Validation
    • Changing Filter suggestions
    • Template filters

    Practice Test & Interview Questions

    Instructors

    Mr Bunny
    Instructor
    Freelancer

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