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The Data Visualization Lifecycle
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[TutsNode.net] - The Data Visualization Lifecycle (Size: 1.19 GB) (Files: 74)
[TutsNode.net] - The Data Visualization Lifecycle
Lesson 3 Collaboration Foundations
003. 3.2 General principles of collaboration with data visualization.mp4
002. 3.1 Typical pain points in presenting to data consumers.mp4
004. 3.3 General versus specific approaches to data visualization.mp4
001. Topics.mp4
Lesson 1 Understanding Stakeholders and Approaches to Data Visualization
002. 1.1 The lifecycle relies on “It Depends†en.srt
003. 1.2 How your role aligns with the lifecycle en.srt
001. Topics en.srt
004. 1.3 Exploring versus explaining in the lifecycle en.srt
002. 1.1 The lifecycle relies on “It Dependsâ€.mp4
004. 1.3 Exploring versus explaining in the lifecycle.mp4
003. 1.2 How your role aligns with the lifecycle.mp4
001. Topics.mp4
Introduction
001. The Data Visualization Lifecycle Introduction en.srt
001. The Data Visualization Lifecycle Introduction.mp4
Lesson 5 Improving Data Explanation
002. 5.1 Storytelling.mp4
003. 5.2 Growing your audience.mp4
005. 5.4 Building and spending trust with your stakeholders.mp4
004. 5.3 Interactivity (data apps).mp4
001. Topics.mp4
Lesson 6 Productization
002. 6.1 Chart design for self-service versus curated data products.mp4
004. 6.3 Data visualization as metric design (data visualization as part of the virtuous cycle of data).mp4
003. 6.2 Optimization for using different delivery methods (dashboards, reports, memos, scrollytelling).mp4
001. Topics.mp4
Lesson 2 Optimizing for Different Data Cultures
005. 2.4 Visualizing data with hypothesis generation and exploration (data scientist culture).mp4
004. 2.3 Visualizing the data by understanding its health and performance (data engineer culture).mp4
003. 2.2 Visualizing the data by cleaning it (data wrangler culture).mp4
002. 2.1 Where are you in the lifecycle.mp4
001. Topics.mp4
Lesson 4 Collaboration in Mature Data Organizations
005. 4.4 Typical pain points of analysts working with data scientists and engineers.mp4
002. 4.1 Differences between young and mature data organizations.mp4
004. 4.3 Typical pain points of scientist to analyst handoffs.mp4
003. 4.2 Typical pain points of engineer to analystdata scientist handoffs.mp4
001. Topics.mp4
Lesson 7 Closing the Loop
003. 7.2 Increasing data (visualization) literacy for your organization.mp4
005. 7.4 Data visualization as business assets.mp4
002. 7.1 Building your data visualization culture.mp4
004. 7.3 Explanatory techniques useful for automatic exploratory analysis (anomaly detection, intelligence).mp4
001. Topics.mp4
Summary
001. The Data Visualization Lifecycle Summary.mp4
TutsNode.net.txt
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