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The Data Visualization Lifecycle

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3:57:32

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  • 001. The Data Visualization Lifecycle Introduction.mp4
    03:54
  • 001. Topics.mp4
    00:33
  • 002. 1.1 The lifecycle relies on It Depends.mp4
    08:32
  • 003. 1.2 How your role aligns with the lifecycle.mp4
    06:40
  • 004. 1.3 Exploring versus explaining in the lifecycle.mp4
    05:02
  • 001. Topics.mp4
    00:31
  • 002. 2.1 Where are you in the lifecycle.mp4
    03:38
  • 003. 2.2 Visualizing the data by cleaning it (data wrangler culture).mp4
    04:44
  • 004. 2.3 Visualizing the data by understanding its health and performance (data engineer culture).mp4
    06:11
  • 005. 2.4 Visualizing data with hypothesis generation and exploration (data scientist culture).mp4
    09:14
  • 001. Topics.mp4
    00:36
  • 002. 3.1 Typical pain points in presenting to data consumers.mp4
    13:39
  • 003. 3.2 General principles of collaboration with data visualization.mp4
    23:56
  • 004. 3.3 General versus specific approaches to data visualization.mp4
    06:53
  • 001. Topics.mp4
    00:31
  • 002. 4.1 Differences between young and mature data organizations.mp4
    06:44
  • 003. 4.2 Typical pain points of engineer to analystdata scientist handoffs.mp4
    04:22
  • 004. 4.3 Typical pain points of scientist to analyst handoffs.mp4
    07:05
  • 005. 4.4 Typical pain points of analysts working with data scientists and engineers.mp4
    07:53
  • 001. Topics.mp4
    00:26
  • 002. 5.1 Storytelling.mp4
    19:43
  • 003. 5.2 Growing your audience.mp4
    10:39
  • 004. 5.3 Interactivity (data apps).mp4
    08:51
  • 005. 5.4 Building and spending trust with your stakeholders.mp4
    19:53
  • 001. Topics.mp4
    00:26
  • 002. 6.1 Chart design for self-service versus curated data products.mp4
    10:35
  • 003. 6.2 Optimization for using different delivery methods (dashboards, reports, memos, scrollytelling).mp4
    11:42
  • 004. 6.3 Data visualization as metric design (data visualization as part of the virtuous cycle of data).mp4
    11:38
  • 001. Topics.mp4
    00:39
  • 002. 7.1 Building your data visualization culture.mp4
    03:47
  • 003. 7.2 Increasing data (visualization) literacy for your organization.mp4
    06:30
  • 004. 7.3 Explanatory techniques useful for automatic exploratory analysis (anomaly detection, intelligence).mp4
    03:07
  • 005. 7.4 Data visualization as business assets.mp4
    05:47
  • 001. The Data Visualization Lifecycle Summary.mp4
    03:11
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    • language english
    • Training sessions 34
    • duration 3:57:32
    • English subtitles has
    • Release Date 2023/03/27