Creating Dashboards and Storytelling with Tableau
- 4.6
Course Summary
Learn how to create effective data visualizations and dashboards with this course. Gain skills in designing and communicating complex data sets in a clear and concise manner.Key Learning Points
- Design and create effective data visualizations
- Develop interactive dashboards using Tableau Software
- Communicate complex data sets in a clear and concise manner
Related Topics for further study
Learning Outcomes
- Design and create effective data visualizations
- Develop interactive dashboards using Tableau Software
- Communicate complex data sets in a clear and concise manner
Prerequisites or good to have knowledge before taking this course
- Basic understanding of data analysis concepts
- Access to Tableau Software
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Data Visualization and Communication with Tableau
- Data Visualization with Python
- Applied Data Visualization with Python
Notable People in This Field
- Cole Nussbaumer Knaflic
- Alberto Cairo
- Nathan Yau
Related Books
Description
Leveraging the visualizations you created in the previous course, Visual Analytics with Tableau, you will create dashboards that help you identify the story within your data, and you will discover how to use Storypoints to create a powerful story to leave a lasting impression with your audience.
Knowledge
- Combine the data and follow the best practices to present your story
- Create calculated fields for KPIs to build a figure that will be used to measure progress in the data
- Assemble a dashboard
- Analyze concepts and techniques for compelling storytelling with data
Outline
- Planning and Preproduction: Aligning your Audience, Stakeholders, and Data
- Course Introduction
- What is a Story?
- Introduction to Planning and Preproduction for Visualizations
- A Design Checklist of the Who, What, Why, and How
- Start with Your Stakeholders
- Addressing Your Audience and Their Context
- Finding the Story
- Prioritizing, Optimizing, and Designing the Data Story
- Case Study - "The Tale of 100 Entrepreneurs" (Part 1)
- Case Study - "The Tale of 100 Entrepreneurs" (Part 2)
- Case Study - "The Tale of 100 Entrepreneurs" (Part 3)
- A Note from UC Davis
- Save Workbooks to Tableau Public
- Journalistic Data Stories
- Additional Readings
- Project Brief
- Sylvia and Terrence Personas
- Sample - SuperStore Dataset
- Module 1
- Key Metrics, Indicators, and Decision Triggers
- Introduction to Key Metrics, Indicators, and Decision Triggers
- Key Performance Indicators (KPIs)
- Tableau Calculated Fields and KPIs
- Creating Complex KPIs Using Tableau
- Thresholds and Alerts
- Data Quality
- Module 2 Quiz
- Dashboard and Storytelling with Data
- Best Practices for Dashboard Design
- Dashboard Design Principles 1, 2, & 3
- Dashboard Design Principles 4, 5, & 6
- Hierarchies, Actions, Filters, and Parameters (Parts 1&2)
- Hierarchies, Actions, Filters, and Parameters (Part 3)
- Hierarchies, Actions, Filters, and Parameters (Part 4)
- Important Considerations for Creating Dashboards
- Pre-Reading: Tableau Whitepaper
- Recommended Readings
- Module 3
- Tell the Story of Your Data
- Tell the Story of Your Data Introduction
- The Art of Storytelling (Past, Present, and Future)
- Storytelling and the Human Brain
- Bringing Data to Life: Emotions and Data Storytelling
- Emotion Modulators: Color, Language, and Other Design Elements
- Framing and Format
- Framing, Conventions, and Priming
- False Narratives and Data Storytelling
- Telling the Stories within the Story (Part 1)
- Telling the Stories within the Story (Part 2)
- Story Considerations
- Preparation of the Story Points
- Setting Up the Story
- Creating Points in the Story
- Interactive Story
- Create a Data Story in a Static Presentation
- Course Summary
- Pre-Reading: Tableau Whitepaper and Training Video
- Examples of Emotions in Data Storytelling
- Additional Readings
- Module 4
Summary of User Reviews
Learn how to create compelling data visualizations and interactive dashboards with this course on Coursera. Users have praised the course for its in-depth content and hands-on projects, giving it an overall positive rating. One key aspect that many users thought was good is the practical approach to teaching the concepts, which helps learners apply the skills in real-world scenarios. Here are the most common pros and cons mentioned by users:Pros from User Reviews
- In-depth content that covers a wide range of topics
- Hands-on projects that allow learners to apply concepts in practice
- Expert instructors with industry experience
- Clear and concise explanations that are easy to follow
- Flexible schedule that allows learners to study at their own pace
Cons from User Reviews
- Some users found the course challenging and may require additional resources for further learning
- The course may be too basic for advanced learners who already have experience in data visualization
- Limited interaction with instructors and fellow learners, which may make it difficult to get help when needed
- Some users experienced technical issues with the platform or course materials
- The course may not be suitable for those who prefer a more traditional classroom setting