Getting started with Looker
Making better decisions with Looker by exploring, analyzing, and sharing real-time business analytics
Duration
8-hrs training course with 2 sessions of 4 hrs each
Level
Beginners Level
Design and Tailor this course
As per your team needs
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This virtual instructor-led course comes with hands-on training that will lead you through the basic concepts of the Looker platform. During the training you will get the opportunity to do hands-on using many features of the platform such as the Schemas, SQL Runner, LookML Dashboard, and create different visualizations using the Looker UI.
After completing this course you will be able to:
- Analyze and visualize data in different ways
- Do table calculations for defining advanced metrics
- Create LookML objects
- Create and share advanced visualizations via Dashboards and Looks
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- Data Engineers responsible for curation and management of data
- Data analysts willing to use LookML to scale their offerings
- Data Storytellers or members of BI teams who have worked on Tableau, Power BI or other similar tools
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- What is Looker
- Navigating the Looker User Interface
- Lab walk-through of the Looker user interface
- Fundamentals of Data Analytics
- Dimensions in Looker
- Measures in Looker
- Exploring Measures using customer data
- Lab: Using Looker Data Explorer
- Using Dimensions and Measures
- Example: Combining Dimensions and Measures
- Filtering Dimensions
- Filtering Measures
- Example: Time Dimensions and Filters
- Lab: Filtering and Sorting data in Looker
- Pivoting data in Looker
- Example: Working with Pivots
- Lab: Analyzing and Visualizing Data in Looker
- Introduction to Table calculations
- Types of Table calculations
- Example: Writing and visualizing Table calculations
- Types of Offset calculations
- Example: Writing Offset calculations
- Lab: Working with Table Calculations and Offsets in Looker
- Creating Looks
- Adding filters to a Look
- Delivering data from Looks
- Creating and editing Dashboards
- Adding filters to a Dashboard
- Delivering data from Dashboards
- Organizing content with Folders
- Creating and browsing Boards
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You must have a preliminary awareness about and exposure to Business Intelligence (BI) and Data Analytics, and must have a familiarity with BI tools and Structured Query Language (SQL)