The Data Visualization Lifecycle | 0323E89B003512833F28D0117B0235AA1B412D9F

The Data Visualization Lifecycle

Name	The Data Visualization Lifecycle	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.3 GB
Total Files	74
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Hash	0323E89B003512833F28D0117B0235AA1B412D9F

/.../Lesson 3 Collaboration Foundations/
003. 3.2 General principles of collaboration with data visualization.mp4	156.6 MB

TutsNode.net.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../Lesson 1 Understanding Stakeholders and Approaches to Data Visualization/
002. 1.1 The lifecycle relies on “It Depends” en.srt	13.5 KB
003. 1.2 How your role aligns with the lifecycle en.srt	10.1 KB
001. Topics en.srt	0.8 KB
004. 1.3 Exploring versus explaining in the lifecycle en.srt	7.3 KB
002. 1.1 The lifecycle relies on “It Depends”.mp4	38.9 MB
004. 1.3 Exploring versus explaining in the lifecycle.mp4	26.6 MB
003. 1.2 How your role aligns with the lifecycle.mp4	23.0 MB
001. Topics.mp4	3.2 MB
/Introduction/
001. The Data Visualization Lifecycle Introduction en.srt	6.8 KB
001. The Data Visualization Lifecycle Introduction.mp4	24.8 MB
.pad/
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/.../Lesson 5 Improving Data Explanation/
002. 5.1 Storytelling.mp4	113.8 MB
003. 5.2 Growing your audience.mp4	95.9 MB
005. 5.4 Building and spending trust with your stakeholders.mp4	92.4 MB
004. 5.3 Interactivity (data apps).mp4	42.0 MB
001. Topics.mp4	2.4 MB
/.../Lesson 3 Collaboration Foundations/
002. 3.1 Typical pain points in presenting to data consumers.mp4	98.1 MB
004. 3.3 General versus specific approaches to data visualization.mp4	36.3 MB
001. Topics.mp4	3.5 MB
/Lesson 6 Productization/
002. 6.1 Chart design for self-service versus curated data products.mp4	55.6 MB
004. 6.3 Data visualization as metric design (data visualization as part of the virtuous cycle of data).mp4	54.4 MB
003. 6.2 Optimization for using different delivery methods (dashboards, reports, memos, scrollytelling).mp4	51.8 MB
001. Topics.mp4	2.5 MB
/.../Lesson 2 Optimizing for Different Data Cultures/
005. 2.4 Visualizing data with hypothesis generation and exploration (data scientist culture).mp4	45.6 MB
004. 2.3 Visualizing the data by understanding its health and performance (data engineer culture).mp4	25.6 MB
003. 2.2 Visualizing the data by cleaning it (data wrangler culture).mp4	21.8 MB
002. 2.1 Where are you in the lifecycle.mp4	13.3 MB
001. Topics.mp4	3.1 MB
/.../Lesson 4 Collaboration in Mature Data Organizations/
005. 4.4 Typical pain points of analysts working with data scientists and engineers.mp4	40.1 MB
002. 4.1 Differences between young and mature data organizations.mp4	34.3 MB
004. 4.3 Typical pain points of scientist to analyst handoffs.mp4	31.0 MB
003. 4.2 Typical pain points of engineer to analystdata scientist handoffs.mp4	18.4 MB
001. Topics.mp4	3.2 MB
/.../Lesson 7 Closing the Loop/
003. 7.2 Increasing data (visualization) literacy for your organization.mp4	29.6 MB
005. 7.4 Data visualization as business assets.mp4	28.2 MB
002. 7.1 Building your data visualization culture.mp4	16.7 MB
004. 7.3 Explanatory techniques useful for automatic exploratory analysis (anomaly detection, intelligence).mp4	15.3 MB
001. Topics.mp4	3.9 MB
/Summary/
001. The Data Visualization Lifecycle Summary.mp4	19.4 MB
Total files 74