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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use Liquid parameters and templated filters to enhance interactivity by users in Looker.

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Syllabus

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Students learning Looker will use parameters and filters to bolster interactivity

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Reviews summary

Looker interactivity with liquid lab

According to students, this course is a highly practical self-paced lab for enhancing user interactivity in Looker. Learners praise its clear instructions and hands-on exercises within the Google Cloud console, finding them extremely useful for applying Liquid parameters and templated filters to create dynamic dashboards. While many found it straightforward and to the point, a minority of learners noted that the course assumes some prior familiarity with Looker or templating languages, suggesting it might be less suitable for absolute beginners. Overall, it's considered an effective resource for Looker developers and business intelligence professionals seeking to elevate their dashboard design.
Some found it rushed, others desired more advanced content.
"I wished there were more advanced examples or challenges beyond the core concepts."
"While very practical and to the point, I felt it could benefit from a bit more explanation of underlying principles."
"The content felt a bit rushed, especially for those less familiar with templating languages."
Recent reviews align strongly with course goals.
"The most recent experience was excellent, indicating the course continues to deliver its core value effectively."
"I noticed recent learners find the course highly practical for current Looker development needs."
"It seems the course has maintained its relevance, with newer reviews highlighting its continued utility for professionals."
Directly teaches methods for dynamic user interaction.
"I can now implement these interactive dashboards at work using Liquid parameters and templated filters."
"Made my dashboards much more engaging and useful for end-users."
"The templated filters section was particularly useful for creating dynamic reports."
Provides valuable hands-on practice in Looker.
"Excellent lab! The instructions for setting up the Looker instance were clear, and the exercises truly helped me grasp how to use Liquid for dynamic filtering."
"This lab is a must-do for anyone looking to make their Looker dashboards more interactive. The step-by-step guidance in the Google Cloud console was flawless."
"The hands-on labs were beneficial; I learned several new tricks for enhancing user experience."
May be challenging without prior Looker knowledge.
"My only minor gripe is that it assumes you're already somewhat familiar with Looker, which wasn't a problem for me, but might be for absolute beginners."
"Found this course somewhat difficult. Prerequisites aren't clear, and I struggled with some of the LookML concepts needed for Liquid."
"It's definitely not for beginners; I wished there was more foundational explanation."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Enhancing User Interactivity in Looker with Liquid with these activities:
Organize Course Materials for Enhanced Retention
Organizing your course materials will improve your ability to recall and apply the concepts covered in the course, including Liquid parameters and templated filters.
Show steps
  • Gather all course materials
  • Create a system for organizing materials
  • Review and update your materials regularly
Mentor a Peer in Using Liquid Parameters
Mentoring a peer will not only reinforce your own understanding of Liquid parameters but also contribute to the learning journey of another.
Browse courses on Mentoring
Show steps
  • Identify a peer who needs assistance
  • Establish a mentoring schedule
  • Provide guidance and support on Liquid parameters
  • Monitor progress and provide feedback
Create a Data Visualization Project Using Liquid Parameters
Embarking on a data visualization project will provide you with hands-on experience in applying Liquid parameters and showcasing your skills.
Browse courses on Data Visualization
Show steps
  • Define the project scope and objectives
  • Gather data and create a data model
  • Develop visualizations using Liquid parameters
  • Present and share your project
Show all three activities

Career center

Learners who complete Enhancing User Interactivity in Looker with Liquid will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst gathers, transforms, and analyzes data to support decision-making in a variety of industries. Enhancing User Interactivity in Looker with Liquid can help Data Analysts build interactive dashboards and visualizations that make data more accessible and actionable for users.
Business Intelligence Analyst
A Business Intelligence Analyst uses data analysis to help businesses make informed decisions. Enhancing User Interactivity in Looker with Liquid can help Business Intelligence Analysts create interactive dashboards and reports that make data more accessible and actionable for stakeholders.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Enhancing User Interactivity in Looker with Liquid can help Data Scientists build interactive dashboards and visualizations that make data more accessible and actionable for stakeholders. Also, it can help automate tasks and processes, freeing up Data Scientists to focus on more strategic initiatives.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and infrastructure. Enhancing User Interactivity in Looker with Liquid can help Data Engineers build interactive dashboards and visualizations that make data more accessible and actionable for users.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. Enhancing User Interactivity in Looker with Liquid can help Software Engineers build interactive dashboards and visualizations that make data more accessible and actionable for users.
Product Manager
A Product Manager is responsible for the development and launch of new products and features. Enhancing User Interactivity in Looker with Liquid can help Product Managers build interactive dashboards and visualizations that make data more accessible and actionable for users.
Project Manager
A Project Manager plans and executes projects to achieve specific goals. Enhancing User Interactivity in Looker with Liquid can help Project Managers build interactive dashboards and visualizations that make data more accessible and actionable for project stakeholders.
Business Analyst
A Business Analyst analyzes business processes and makes recommendations for improvement. Enhancing User Interactivity in Looker with Liquid can help Business Analysts build interactive dashboards and visualizations that make data more accessible and actionable for stakeholders.
Financial Analyst
A Financial Analyst analyzes financial data and makes recommendations for investment. Enhancing User Interactivity in Looker with Liquid can help Financial Analysts build interactive dashboards and visualizations that make data more accessible and actionable for stakeholders.
Marketing Analyst
A Marketing Analyst analyzes marketing data and makes recommendations for improvement. Enhancing User Interactivity in Looker with Liquid can help Marketing Analysts build interactive dashboards and visualizations that make data more accessible and actionable for stakeholders.
Sales Analyst
A Sales Analyst analyzes sales data and makes recommendations for improvement. Enhancing User Interactivity in Looker with Liquid can help Sales Analysts build interactive dashboards and visualizations that make data more accessible and actionable for stakeholders.
Operations Analyst
An Operations Analyst analyzes operational data and makes recommendations for improvement. Enhancing User Interactivity in Looker with Liquid can help Operations Analysts build interactive dashboards and visualizations that make data more accessible and actionable for stakeholders.
Risk Analyst
A Risk Analyst analyzes risk data and makes recommendations for mitigation. Enhancing User Interactivity in Looker with Liquid can help Risk Analysts build interactive dashboards and visualizations that make data more accessible and actionable for stakeholders.
Compliance Analyst
A Compliance Analyst analyzes compliance data and makes recommendations for improvement. Enhancing User Interactivity in Looker with Liquid can help Compliance Analysts build interactive dashboards and visualizations that make data more accessible and actionable for stakeholders.
Auditor
An Auditor examines financial records and reports to ensure accuracy and compliance. Enhancing User Interactivity in Looker with Liquid may be useful for Auditors who want to build interactive dashboards and visualizations that make data more accessible and actionable for stakeholders.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Enhancing User Interactivity in Looker with Liquid.
Provides a comprehensive overview of deep learning with Python, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. This book would be a valuable resource for someone who wants to learn more about deep learning with Python.
Provides a comprehensive overview of reinforcement learning with Python, covering topics such as Markov decision processes, value function approximation, and policy search. This book would be a valuable resource for someone who wants to learn more about reinforcement learning with Python.
Provides a comprehensive overview of machine learning with Python, covering topics such as supervised learning, unsupervised learning, and deep learning. This book would be a valuable resource for someone who wants to learn more about machine learning with Python.
Provides a comprehensive overview of data science with Python, covering topics such as data cleaning, data analysis, and machine learning. This book would be a valuable resource for someone who wants to learn more about data science with Python.
Provides a comprehensive overview of natural language processing with Python, covering topics such as text classification, sentiment analysis, and machine translation. This book would be a valuable resource for someone who wants to learn more about natural language processing with Python.
Provides a comprehensive overview of computer vision with Python, covering topics such as image classification, object detection, and image segmentation. This book would be a valuable resource for someone who wants to learn more about computer vision with Python.
Provides a collection of best practices for using Looker, covering topics such as data governance, security, and performance. This book would be a valuable resource for someone who wants to learn how to use Looker effectively.
Provides a comprehensive overview of using Python for data analysis, covering topics such as data cleaning, data manipulation, and data visualization. This book would be a valuable resource for someone who wants to learn more about data analysis with Python.
Provides a practical guide to using Python to automate tasks, covering topics such as web scraping, data analysis, and scripting. This book would be a valuable resource for someone who wants to learn more about Python.

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