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Looker and Looker Studio: Google’s Data Visualization Tools

سرفصل های دوره

Learn Google's Data Visualization tools - Looker and Looker Studio (previously Google Data Studio) + LookML for Devs


1. Introduction
  • 1. Introduction
  • 2. Why use Looker
  • 3. This is a Milestone!
  • 4. Google Data Viz & Bi products

  • 2. Google Data Studio
  • 1. Why Data Studio

  • 3. Terminologies & Theoretical concepts for Data Studio
  • 1. Data Studio Home Screen & Dataset vs Data Source
  • 2. Structure of Input data
  • 3. Dimensions vs Measures (new definition)

  • 4. Practical part begins here
  • 1. Opening Data Studio
  • 2. Adding a data source
  • 3. Managing added data source

  • 5. Charts to highlight numbers
  • 1. Data Table
  • 2. Styling tab for data table
  • 3. Scorecards

  • 6. Charts for comparing categories Bar charts and stacked charts
  • 1. Simple Bar and Column chart
  • 2. Stacked Column chart

  • 7. Charting maps of a country, continent, or a region - Geomaps
  • 1. GeoMap

  • 8. Charts to highlight trends Time Series, Line and Area charts
  • 1. Time Series
  • 2. Update to Time Series chart
  • 3. Line Chart and Combo Chart

  • 9. Highlight contribution to total Pie chart & Donut Chart
  • 1. Pie Chart and Donut Chart
  • 2. Stacked Area Charts

  • 10. Relationship between two or more variables Scatter plots
  • 1. Scatter Plots and Bubble charts

  • 11. Aggregating on two dimension Pivot tables
  • 1. Pivot tables for cross tabulation

  • 12. All about a single Metric Bullet Chart
  • 1. Bullet Chart

  • 13. Chart for highlighting heirarchy TreeMap
  • 1. TreeMaps

  • 14. Branding a Report
  • 1. Branding a Report Brand Logo and Company Details
  • 2. Brand colors for report branding

  • 15. Giving the power to filter Data to viewers
  • 1. Filter controls for viewers

  • 16. Add Videos, Feedback form etc. to your Report
  • 1. URL Embed to include external content

  • 17. Sometimes data is in multiple tables
  • 1. Blending data from multiple tables
  • 2. Different types of Joins while blending data

  • 18. Sharing and Collaborating on Data Studio report
  • 1. Downloading report as PDF and Page Management
  • 2. Sharing report and Data Credentials
  • 3. Sharing report using a link
  • 4. Scheduling emails
  • 5. Embeding report on Website

  • 19. Google BigQuery Connection
  • 1. Connecting and Visualizing Data in Google BigQuery

  • 20. Charting Best Practices
  • 1. Highlighting chart message
  • 2. Eliminating Distractions from the Graph
  • 3. Avoiding clutter
  • 4. Avoiding the Spaghetti plot

  • 21. Looker Features
  • 1. Looker features
  • 2. Setting up the Sandbox
  • 3. Home Interface

  • 22. Terminologies & Theoretical concepts for Google Looker
  • 1. Important terms used in Looker
  • 2. Dimensions and Measures

  • 23. Practical part begins here
  • 1. Creating your first Look
  • 2. Saving a Look

  • 24. Filters
  • 1. Filtering using Dimensions
  • 2. Filtering using Measures

  • 25. Popular Chart Types
  • 1. Single-Value Visualization
  • 2. Bar and Column Chart
  • 3. Line Chart
  • 4. Pie Chart
  • 5. Scatterplot
  • 6. GeoMaps

  • 26. Custom fields
  • 1. Table Calculations
  • 2. Creating a custom dimension using a Looker expression
  • 3. Binning - Custom Dimension
  • 4. Groups - Custom Dimension
  • 5. Custom Measures

  • 27. Look view-mode
  • 1. Look view-mode
  • 2. Other options in View mode

  • 28. Looker Dashboards
  • 1. Creating a Dashboard in Looker
  • 2. Adding filters to a dashboard
  • 3. Setting the tiles and other options

  • 29. Folders in Looker
  • 1. Creating folders and Managing Access

  • 30. Downloading and sharing content
  • 1. Downloading Looks and dashboards
  • 2. Sharing and Sending mails

  • 31. Boards
  • 1. Boards

  • 32. LookML
  • 1. Why to use LookML
  • 2. Advantages of LookML
  • 3. LookML important terms
  • 4. Interface of LookML
  • 5. How to create Views in LookML
  • 6. SQL runner in Looker

  • 33. Dimensions in Looker
  • 1. Dimensions - Syntax ed
  • 2. Dimensions - Number
  • 3. Dimensions - String
  • 4. Dimensions - YesNo
  • 5. Dimensions - Tier
  • 6. Dimensions - Location - Tier
  • 7. Dimensions - Date Time and Others

  • 34. Creating Dimensions in Looker
  • 1. Dimensions in looker - Data sample and import
  • 2. Dimensions in looker - For Airport view
  • 3. Dimensions in looker - Creating single view explore
  • 4. Dimensions in looker - Creating Airport dashboard
  • 5. Dimensions in looker - Explore and look for Flight view

  • 35. Measures
  • 1. Measures - Syntax
  • 2. Measures - Average
  • 3. Measures - Average Distinct
  • 4. Measures - Count and Count Distinct
  • 5. Measures - Other common measures
  • 6. Measures - Running total
  • 7. Measures - Percent of previous
  • 8. Measures - Percent of total
  • 9. Measures - List
  • 10. Measures - YesNo

  • 36. Creating Measures in Looker
  • 1. Measures in Looker - Data Sample and Measures calculation
  • 2. Measures in Looker - Creating Measures
  • 3. Measures in Looker - Measures in a look

  • 37. Substitution operator
  • 1. Substitution operator

  • 38. Joins Prerequisites
  • 1. Types of joins - Introduction and Left Join
  • 2. Types of joins - Full Outer join
  • 3. Types of joins - Inner Join
  • 4. Types of joins - Cross Join
  • 5. Relationships for joins - Introduction
  • 6. Relationships for joins - Why should we use relationships for joins
  • 7. Primary Keys

  • 39. Creating Joins in Looker
  • 1. Joins in Looker - Syntax
  • 2. Joins in Looker - Syntax Example
  • 3. Joins in Looker - Creating joins
  • 4. Joins in Looker - Exploring joins in a look

  • 40. Customization in Looker
  • 1. Customising explore menu - Concepts and Syntax
  • 2. Customizing explore menu - Application in looker
  • 3. Customizing Field Picker - Concepts and Syntax
  • 4. Customizing Field Picker - Application in Looker

  • 41. Git and Github Basics
  • 1. Git and Github Basics

  • 42. Congratulations & About your certificate
  • 1. The final milestone!
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