The Data Visualization Lifecycle

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Introduction

001. The Data Visualization Lifecycle Introduction

Lesson 1 Understanding Stakeholders and Approaches to Data Visualization

001. Topics

002. 1.1 The lifecycle relies on It Depends

003. 1.2 How your role aligns with the lifecycle

004. 1.3 Exploring versus explaining in the lifecycle

Lesson 2 Optimizing for Different Data Cultures

001. Topics

002. 2.1 Where are you in the lifecycle

003. 2.2 Visualizing the data by cleaning it (data wrangler culture)

004. 2.3 Visualizing the data by understanding its health and performance (data engineer culture)

005. 2.4 Visualizing data with hypothesis generation and exploration (data scientist culture)

Lesson 3 Collaboration Foundations

001. Topics

002. 3.1 Typical pain points in presenting to data consumers

003. 3.2 General principles of collaboration with data visualization

004. 3.3 General versus specific approaches to data visualization

Lesson 4 Collaboration in Mature Data Organizations

001. Topics

002. 4.1 Differences between young and mature data organizations

003. 4.2 Typical pain points of engineer to analystdata scientist handoffs

004. 4.3 Typical pain points of scientist to analyst handoffs

005. 4.4 Typical pain points of analysts working with data scientists and engineers

Lesson 5 Improving Data Explanation

001. Topics

002. 5.1 Storytelling

003. 5.2 Growing your audience

004. 5.3 Interactivity (data apps)

005. 5.4 Building and spending trust with your stakeholders

Lesson 6 Productization

001. Topics

002. 6.1 Chart design for self-service versus curated data products

003. 6.2 Optimization for using different delivery methods (dashboards, reports, memos, scrollytelling)

004. 6.3 Data visualization as metric design (data visualization as part of the virtuous cycle of data)

Lesson 7 Closing the Loop

001. Topics

002. 7.1 Building your data visualization culture

003. 7.2 Increasing data (visualization) literacy for your organization

004. 7.3 Explanatory techniques useful for automatic exploratory analysis (anomaly detection, intelligence)

005. 7.4 Data visualization as business assets

Summary

001. The Data Visualization Lifecycle Summary

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تولید کننده: LiveLessons