[Course 4 of 5, Google Cloud Data Analytics Certificate] You're over halfway! Level up your data visualization skills in this course, where you'll unlock the secrets of transforming flat data into captivating stories that leap from the screen, and onto the agenda of your key stakeholders. Happy learning!

To earn this Google Cloud Certificate with a digital credential you can share, hop on over Google Cloud Skills Boost to complete the hands-on labs (available on desktop/laptop only) and graded assessments. There is a monthly subscription cost of $29 USD/month to earn the certificate on Google Cloud Skills Boost. https://goo.gle/49OzC41

Jump directly to the topics you want to learn:
00:00 Introduction to Course 4
04:20 C.J.: A day in the life of a data analytics customer engineer
07:04 Welcome to module 1
08:05 Ways that cloud data enhances storytelling
13:15 Planning phases of the data visualization workflow
16:55 Dashboard design for effective communication
19:58 The importance of UX/UI design
24:10 Design decisions for data visualizations
27:00 Additional design concepts to consider
29:27 Design principles and strategies for dashboards
33:20 Module 1 Wrap-up

34:09 Welcome to module 2
35:13 Data types to consider for visualizations
39:23 Introduction to business intelligence dashboards
42:38 Benefits of scorecards
45:47 SMART questions for stakeholders
50:03 Strategies for translating stakeholder requests
52:31 Introduction to wireframes for stakeholder alignment
55:59 Lateefat: Meet the needs of cloud customers
58:38 Module 2 Wrap-up

59:48 Welcome to module 3
1:01:10 The data journey: Analyze and activate
1:03:57 Considerations for connecting to cloud data
1:09:04 The importance of data exploration
1:12:18 Nicholaus: Cloud tools for business optimization
1:17:20 Dimensions and measures in data models
1:20:49 Basics of modeling data
1:24:04 Data blending for helpful insights
1:27:02 Introduction to data reports
1:30:24 Module 3 Wrap-up

1:31:32 Welcome to module 4
1:32:16 Introduction to enterprise-grade visualization tools
1:36:51 Comparison of self-service and guided analytics
1:41:03 Visualization tools for enterprise data exploration
1:43:40 The process of filtering data
1:48:07 Data drilling up, down, and through
1:52:06 Live dashboard features
1:56:38 The changing role of a cloud data analyst
2:00:00 Module 4 Wrap-up

2:00:53 Welcome to module 5
2:02:10 Bring data tools together with an IDE
2:05:00 The benefits of using version control
2:08:30 Introduction to data modeling languages
2:12:17 Data modeling languages for business needs
2:15:34 Discover dashboards as code
2:18:42 Derived tables for complex data problems
2:22:43 Improve performance with caching
2:26:35 Module 5 Wrap-up
2:27:26 Lauren and Andrew: Interview role play

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