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.
This course is part of the Data Visualization with Tableau Specialization
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Data Visualization with Tableau SpecializationUniversity of California, DavisAbout this Course
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Flexible deadlines
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Shareable Certificate
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Course 4 of 5 in the
Beginner Level
Familiar with Tableau and comfortable working with data and datasets.
Approx. 15 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
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
Skills you will gain
- Storyboarding
- Tableau Software
- Data Virtualization
- Data Visualization (DataViz)
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 4 of 5 in the
Beginner Level
Familiar with Tableau and comfortable working with data and datasets.
Approx. 15 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
University of California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
Syllabus - What you will learn from this course
4 hours to complete
Planning and Preproduction: Aligning your Audience, Stakeholders, and Data
Welcome to the first module of this course! In the following modules, you will learn and work with concepts, tips, and techniques to help you explore data, identify meaningful findings, and then explain them through the power of data visualization and storytelling. In this module, you will be able to determine the who, what, why, and how of the story and discover the importance of planning before you start. You will be able to interview your stakeholders and assess your audience to find the right story in the data. By the end of this module, you will be able to define what a story is and build a basic framework for presenting your story. Let's get started!
4 hours to complete
11 videos (Total 71 min), 7 readings, 2 quizzes
2 hours to complete
Key Metrics, Indicators, and Decision Triggers
Welcome to Module 2. In this module, you will identify the key metrics that will provide the answers to your business question. You will develop an understanding of the types of ways KPIs can be visualized. You will create calculated fields for KPIs to build a figure that will be used to measure progress in the data. By the end of this module, you should be able to set thresholds and create alerts to trigger a decision. We will also discuss the topic of quality and constraints of the data.
2 hours to complete
6 videos (Total 52 min)
4 hours to complete
Dashboard and Storytelling with Data
Welcome to Module 3. In this module, you will go from learning Tableau's six best practices for dashboard design. By the end of this module, you should be able to apply hierarchies, actions, filters, and parameters within Tableau. You will also review five videos associated with the topic and discover how to uncover the story in the data and be able to frame your story.
4 hours to complete
7 videos (Total 81 min), 2 readings, 2 quizzes
5 hours to complete
Tell the Story of Your Data
Welcome to Module 4. Although this course focuses on Tableau, we will look at a wider range of examples and techniques to help you become a better data storyteller. By the end of this module, you should be able to leverage concepts and techniques designed to help you become a more focused and compelling storyteller with data as the foundation. We will discuss ways to avoid unintentionally creating false narratives with good data. You will also learn about what neuroscience research tells us about stories, audience engagement, and decision drivers. You will use structural story elements to help improve the relatability of the story and explore ways design and textual elements can affect the emotional tone of a story. Lastly, you will learn how to frame and format the data story based on your design checklist. Let's get started!
5 hours to complete
17 videos (Total 132 min), 3 readings, 2 quizzes
Reviews
- 5 stars72.35%
- 4 stars21.14%
- 3 stars4.95%
- 2 stars0.88%
- 1 star0.66%
TOP REVIEWS FROM CREATING DASHBOARDS AND STORYTELLING WITH TABLEAU
by EBJun 1, 2021
Course was good overall but the sections on Tableau tool were sometimes hard to follow. More step-by-step detail needed. Sometimes the transcripts didn't match what the instructor was staying.
by KLApr 18, 2020
Great course. Chapeau to teachers and many great fellow students. It was fun to see the all the past courses come together in this 4th round! Thanks!
by DSAug 26, 2017
Very well taught and straigh to the points. Also liked to have different speakers throughout the module: it is refreshing. Thanks and keep it up !
by EPAug 28, 2020
Really tangible and useful. I have been able to take what I've learned in this specialization so far to create dashboards at work. I'm really pleased with how much I've learned in such a short time!
About the Data Visualization with Tableau Specialization
In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.
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