[TutsNode.net] - The Data Visualization Lifecycle
Lesson 3 Collaboration Foundations
003. 3.2 General principles of collaboration with data visualization.mp4
149.34 MB
002. 3.1 Typical pain points in presenting to data consumers.mp4
93.57 MB
004. 3.3 General versus specific approaches to data visualization.mp4
34.64 MB
001. Topics.mp4
3.33 MB
Lesson 1 Understanding Stakeholders and Approaches to Data Visualization
002. 1.1 The lifecycle relies on “It Depends†en.srt
13.18 KB
003. 1.2 How your role aligns with the lifecycle en.srt
9.82 KB
001. Topics en.srt
0.75 KB
004. 1.3 Exploring versus explaining in the lifecycle en.srt
7.12 KB
002. 1.1 The lifecycle relies on “It Dependsâ€.mp4
37.10 MB
004. 1.3 Exploring versus explaining in the lifecycle.mp4
25.37 MB
003. 1.2 How your role aligns with the lifecycle.mp4
21.90 MB
001. Topics.mp4
3.04 MB
Introduction
001. The Data Visualization Lifecycle Introduction en.srt
6.62 KB
001. The Data Visualization Lifecycle Introduction.mp4
23.70 MB
Lesson 5 Improving Data Explanation
002. 5.1 Storytelling.mp4
108.49 MB
003. 5.2 Growing your audience.mp4
91.44 MB
005. 5.4 Building and spending trust with your stakeholders.mp4
88.08 MB
004. 5.3 Interactivity (data apps).mp4
40.09 MB
001. Topics.mp4
2.30 MB
Lesson 6 Productization
002. 6.1 Chart design for self-service versus curated data products.mp4
52.98 MB
004. 6.3 Data visualization as metric design (data visualization as part of the virtuous cycle of data).mp4
51.92 MB
003. 6.2 Optimization for using different delivery methods (dashboards, reports, memos, scrollytelling).mp4
49.44 MB
001. Topics.mp4
2.38 MB
Lesson 2 Optimizing for Different Data Cultures
005. 2.4 Visualizing data with hypothesis generation and exploration (data scientist culture).mp4
43.50 MB
004. 2.3 Visualizing the data by understanding its health and performance (data engineer culture).mp4
24.44 MB
003. 2.2 Visualizing the data by cleaning it (data wrangler culture).mp4
20.76 MB
002. 2.1 Where are you in the lifecycle.mp4
12.64 MB
001. Topics.mp4
2.95 MB
Lesson 4 Collaboration in Mature Data Organizations
005. 4.4 Typical pain points of analysts working with data scientists and engineers.mp4
38.24 MB
002. 4.1 Differences between young and mature data organizations.mp4
32.73 MB
004. 4.3 Typical pain points of scientist to analyst handoffs.mp4
29.60 MB
003. 4.2 Typical pain points of engineer to analystdata scientist handoffs.mp4
17.52 MB
001. Topics.mp4
3.03 MB
Lesson 7 Closing the Loop
003. 7.2 Increasing data (visualization) literacy for your organization.mp4
28.21 MB
005. 7.4 Data visualization as business assets.mp4
26.87 MB
002. 7.1 Building your data visualization culture.mp4
15.94 MB
004. 7.3 Explanatory techniques useful for automatic exploratory analysis (anomaly detection, intelligence).mp4
14.64 MB
001. Topics.mp4
3.73 MB
Summary
001. The Data Visualization Lifecycle Summary.mp4
18.49 MB
TutsNode.net.txt
0.06 KB
[TGx]Downloaded from torrentgalaxy.to .txt
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