This is the fourth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll focus on developing skills in the five key stages of visualizing data in the cloud: storytelling, planning, exploring data, building visualizations, and sharing data with others. You’ll also gain experience using UI/UX skills to wireframe impactful, cloud-native visualizations and work with cloud-native data visualization tools to explore datasets, create reports, and build dashboards that drive decisions and foster collaboration.
Overview
Syllabus
- Introduction to the power of storytelling: How to visualize data in the cloud
- Introduction to Course 4
- Course 4 overview
- C.J.: A day in the life of a data analytics customer engineer
- Helpful resources and tips
- Lab technical tips
- Explore your Course 4 scenario: TheLook eCommerce
- Welcome to module 1
- Why visualization matters
- Ways that cloud data enhances storytelling
- Planning phases of the data visualization workflow
- Dashboard design for effective communication
- Dashboard strategies for answering business questions
- Test your knowledge: Become a storyteller with cloud data
- The importance of UX/UI design
- Design decisions for data visualizations
- Foundational concepts of design: Structure and aesthetics
- Foundational concepts of design: Usability and accessibility
- Additional design concepts to consider
- Design principles and strategies for dashboards
- Test your knowledge: Basic principles of UI/UX design
- Wrap-up
- Glossary terms from module 1
- Module 1 challenge
- Methods for visualization planning and design
- Welcome to module 2
- Data types to consider for visualizations
- The importance of data type identification
- Visualization techniques for different data types
- Activity: Choose an effective visualization type
- Activity Quiz: Choose an effective visualization type
- Activity Exemplar: Choose an effective visualization type
- Test your knowledge: Data type implications on visualizations
- Introduction to business intelligence dashboards
- 4 types of business intelligence dashboards
- Benefits of scorecards
- Test your knowledge: Business intelligence visualization types
- SMART questions for stakeholders
- [Supplemental] Tips for effective teamwork
- Dashboard alignment with stakeholder needs
- Test your knowledge: Strategies for stakeholder alignment
- Strategies for translating stakeholder requests
- Introduction to wireframes for stakeholder alignment
- The importance of the user journey
- Lateefat: Meet the needs of cloud customers
- How to build a wireframe in Google Slides
- Activity: Analyze a wireframe
- Activity Quiz: Analyze a wireframe
- Test your knowledge: Translate stakeholder requests with wireframes
- Wrap-up
- Glossary terms from module 2
- Module 2 challenge
- Access, explore, and report on data in the cloud
- Welcome to module 3
- The data journey: Analyze and activate
- Cloud-based tools for accessing and visualizing data
- Considerations for connecting to cloud data
- Test your knowledge: Access data on the cloud
- The importance of data exploration
- Actionable insights through data exploration
- Nicholaus: Cloud tools for business optimization
- Dimensions and measures in data models
- Customize dimensions and measures in Looker Studio
- Test your knowledge: Explore and organize data in the cloud
- Basics of modeling data
- Aggregate and filter to summarize data
- Data blending for helpful insights
- Test your knowledge: Model data for visualization
- Introduction to data reports
- Case study: Benefits of using data reports
- Guide to Looker Studio
- Create a report in Looker Studio
- Test your knowledge: Create a report to visualize data insights
- Wrap-up
- Glossary terms from module 3
- Module 3 challenge
- Enterprise business analytics
- Welcome to module 4
- Introduction to enterprise-grade visualization tools
- Data governance for safeguarding data
- Comparison of self-service and guided analytics
- Test your knowledge: Enterprise grade data analytics platforms
- Visualization tools for enterprise data exploration
- Insights from a single dataset
- The process of filtering data
- Data drilling up, down, and through
- Test your knowledge: Data exploration of enterprise data sets
- Live dashboard features
- User experiences with dashboards
- Collaborative dashboards
- Dynamic AI-driven dashboards
- Guide to Looker Enterprise
- Build a dashboard using the Looker Enterprise UI
- The changing role of a cloud data analyst
- Test your knowledge: Use dashboards to meet business needs
- Wrap-up
- Glossary terms from module 4
- Module 4 challenge
- Explore the developer environment
- Welcome to module 5
- Bring data tools together with an IDE
- The elements of LookML
- The benefits of using version control
- Test your knowledge: Getting started with IDEs
- Introduction to data modeling languages
- Define dimensions and measure with LookML
- Guide to LookML
- Model dimensions and measures using LookML
- Data modeling languages for business needs
- Test your knowledge: Data modeling in the developer environment
- Discover dashboards as code
- Explore a dashboard file’s LookML code
- Test your knowledge: Manage visualizations with dashboards as code
- Derived tables for complex data problems
- Types of derived tables
- Improve performance with caching
- Test your knowledge: Address complex business questions and optimize performance
- Wrap-up
- Lauren and Andrew: Interview role play
- Interview tip: End responses with positive takeaways
- Glossary terms from module 5
- Module 5 challenge
- Course wrap-up
- Course 4 resources and citations
- Glossary terms from Course 4
- Your Next Steps
- Course Badge
