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585б |
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124.63Кб |
| 001. The Data Visualization Lifecycle Introduction.mp4 |
23.70Мб |
| 001. The Data Visualization Lifecycle Introduction en.srt |
6.62Кб |
| 001. The Data Visualization Lifecycle Summary.mp4 |
18.49Мб |
| 001. Topics.mp4 |
3.73Мб |
| 001. Topics.mp4 |
3.33Мб |
| 001. Topics.mp4 |
3.04Мб |
| 001. Topics.mp4 |
3.03Мб |
| 001. Topics.mp4 |
2.95Мб |
| 001. Topics.mp4 |
2.38Мб |
| 001. Topics.mp4 |
2.30Мб |
| 001. Topics en.srt |
773б |
| 002. 1.1 The lifecycle relies on “It Depends”.mp4 |
37.10Мб |
| 002. 1.1 The lifecycle relies on “It Depends” en.srt |
13.18Кб |
| 002. 2.1 Where are you in the lifecycle.mp4 |
12.64Мб |
| 002. 3.1 Typical pain points in presenting to data consumers.mp4 |
93.57Мб |
| 002. 4.1 Differences between young and mature data organizations.mp4 |
32.73Мб |
| 002. 5.1 Storytelling.mp4 |
108.49Мб |
| 002. 6.1 Chart design for self-service versus curated data products.mp4 |
52.98Мб |
| 002. 7.1 Building your data visualization culture.mp4 |
15.94Мб |
| 003. 1.2 How your role aligns with the lifecycle.mp4 |
21.90Мб |
| 003. 1.2 How your role aligns with the lifecycle en.srt |
9.82Кб |
| 003. 2.2 Visualizing the data by cleaning it (data wrangler culture).mp4 |
20.76Мб |
| 003. 3.2 General principles of collaboration with data visualization.mp4 |
149.34Мб |
| 003. 4.2 Typical pain points of engineer to analystdata scientist handoffs.mp4 |
17.52Мб |
| 003. 5.2 Growing your audience.mp4 |
91.44Мб |
| 003. 6.2 Optimization for using different delivery methods (dashboards, reports, memos, scrollytelling).mp4 |
49.44Мб |
| 003. 7.2 Increasing data (visualization) literacy for your organization.mp4 |
28.21Мб |
| 004. 1.3 Exploring versus explaining in the lifecycle.mp4 |
25.37Мб |
| 004. 1.3 Exploring versus explaining in the lifecycle en.srt |
7.12Кб |
| 004. 2.3 Visualizing the data by understanding its health and performance (data engineer culture).mp4 |
24.44Мб |
| 004. 3.3 General versus specific approaches to data visualization.mp4 |
34.64Мб |
| 004. 4.3 Typical pain points of scientist to analyst handoffs.mp4 |
29.60Мб |
| 004. 5.3 Interactivity (data apps).mp4 |
40.09Мб |
| 004. 6.3 Data visualization as metric design (data visualization as part of the virtuous cycle of data).mp4 |
51.92Мб |
| 004. 7.3 Explanatory techniques useful for automatic exploratory analysis (anomaly detection, intelligence).mp4 |
14.64Мб |
| 005. 2.4 Visualizing data with hypothesis generation and exploration (data scientist culture).mp4 |
43.50Мб |
| 005. 4.4 Typical pain points of analysts working with data scientists and engineers.mp4 |
38.24Мб |
| 005. 5.4 Building and spending trust with your stakeholders.mp4 |
88.08Мб |
| 005. 7.4 Data visualization as business assets.mp4 |
26.87Мб |
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| TutsNode.net.txt |
63б |