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Suk S. Brar, M.B.A. and Hunter Whitney

In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking. You will then import that data into Tableau and prepare it for analysis. Next you will create a dashboard that will allow you to explore the data in depth and identify meaningful insights. You will then give structure to your data story by writing the story arc in narrative form. Finally, you will consult your design checklist to craft the final viz or data story in Tableau. This is your opportunity to show the world what you’re capable of - so think big, and have confidence in your skills!

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What's inside

Syllabus

Getting Started and Milestone 1: Develop a Project Proposal
In this first milestone, you will write a project proposal that will capture the “who, what, why and how” of your project plus any challenges that you foresee along the way. Your proposal will include: a specific business case or personal objective, any intended outcomes, a description of the needs of the intended audience, a description of the dataset to be used, and any foreseeable challenges.
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Milestone 2: Importing and Prepping the Data
In milestone two, you will acquire the dataset that supports your project proposal, import it into Tableau, and prepare the data for analysis.
Milestone 3: Exploratory Analysis
In this milestone, you will use the skills that you have learned in the specialization to perform exploratory analysis of your data. You will identify key metrics in the data and create KPIs, and you will use those KPIs to create dashboards that allow for comparative views and “brushing and linking.” This will allow us to begin to think about the proper context of developing an explanatory analysis that will form the basis for the remaining milestones. Be sure your visualizations demonstrate the visual and cognitive design principles learned throughout the Specialization, and make use of advanced features like hierarchies, actions, filters and parameters.
Milestone 3: Exploratory Analysis and Dashboard Submission
In this module, you will continue to work through Milestone 3, your exploratory analysis and dashboard creation as outlined in the third week. You will then submit your deliverables for peer review.
Milestone 4: Storytelling and Storyboarding
In this milestone, you will take a short but essential break from the data visualization software and begin to give structure to your data stories. You will define the basic story arc of your data story, or draft a narrative description of what your data visualization communicates. You have started that process in the previous milestones, but now we will start assembling our story using Story Points.
Milestone 5: Final Presentation
In this final milestone, you will apply design elements from our design checklist. You have met the goals of the stakeholder’s and will complete your design to meet the needs of the audience. You will apply the cognitive and visual design concepts learned throughout this Specialization and create a visualization or data story that leaves a lasting impression with your audience.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Synthesizes all of the previous milestones and learning from the specialization to create a unique Tableau dashboard or data story
Provides an opportunity for learners to work through the complete Tableau design process from end-to-end
Applies core principles of cognitive and visual design in Tableau and practical data science to result in deliverables that will leave a lasting impression on an audience
Involves hands-on application of Tableau as well as the standard model of academic milestones and deliverables
Develops the core skills for the effective and impactful visualization of data, a cornerstone of data science and analytics
Taught by skilled data visualization experts, Suk S. Brar and Hunter Whitney

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Reviews summary

Data visualization with tableau capstone

Learners say that this capstone course provides great practice showcasing learners' Tableau skills. The assignments allow learners to apply what they learned throughout the specialization and get hands-on experience with Tableau. Some learners express dissatisfaction with the peer grading approach but most appreciate the practical nature of this course.
Course is practical and allows for hands-on experience.
"The peer-review assignments are really like a Tableau live projects, after the completion of this course I am able to create innovative dashboards and storytelling for the data - Thanks for the Instructors who made learning like enjoying a video game."
"It is a great course. I like the principles and all the guidance through the different topics.One can learn a lot of good practices in general, that's the best part you gain more experience with Tableau and you can also learn about data visualization techniques which you can apply everywhere."
"This has been an amazing learning journey, fun filled and extremely informative."
Course uses peer grading for all assignments.
"Another terrible course in this specialization. Unmaintained course with links that no longer lead to relevant material. 100% peer graded, so meaningless."
"I took this as part of the 5-course Tableau specialization. I accepted the reasoning behind the peer-grading system for the first 4 courses but was quite disappointed that this capstone project course was also peer-graded only, with no instructor review or feedback."
"This is a great course but I DO hate the peer-graded assignments"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Visualization with Tableau Project with these activities:
Review Stats and Data Analysis
Refresh your knowledge of math topics like statistics and data analysis to foundational understanding before starting this course
Browse courses on Statistics
Show steps
  • Review statistics notes and materials from previous coursework
  • Take practice questions on statistics concepts
Data Inventory Dashboard
Create a simple data inventory dashboard using Tableau to practice your data analysis skills and become familiar with the software
Browse courses on Data Analysis
Show steps
  • Identify a dataset to use for your dashboard
  • Import and prepare the data in Tableau
  • Create visualizations to represent the data
  • Design and format the dashboard
Tableau Online Courses
Enroll in an online course or tutorial on Tableau to learn more about its features and capabilities
Browse courses on Tableau
Show steps
  • Research and identify suitable online courses or tutorials
  • Enroll in the course or tutorial and complete the modules
  • Practice the techniques and concepts learned in the course
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Visualization Study Group
Join or create a study group with classmates to discuss data visualization concepts, share ideas, and work on projects together
Browse courses on Data Visualization
Show steps
  • Find or form a study group with other students in the course
  • Establish regular meeting times and a communication platform
  • Discuss course material, share resources, and work on projects together
Tableau Tutorial Write-Up
Write a tutorial explaining how to use Tableau to create a specific type of data visualization, such as a bar chart or scatter plot
Browse courses on Tableau
Show steps
  • Choose a specific type of data visualization to focus on
  • Create a step-by-step guide on how to create the visualization in Tableau
  • Include screenshots or images to illustrate the steps
Data Visualization Tools Collection
Compile a list of recommended data visualization tools, including their features, strengths, and limitations
Browse courses on Data Visualization
Show steps
  • Research and identify different data visualization tools
  • Evaluate the tools based on criteria such as ease of use, features, and cost
  • Create a document or spreadsheet summarizing the tools and their characteristics
Data Visualization Conference
Attend a data visualization conference to learn about industry trends, network with professionals, and explore new tools and techniques
Browse courses on Data Visualization
Show steps
  • Research and identify relevant data visualization conferences
  • Register for the conference and make travel arrangements
  • Attend sessions, workshops, and networking events
  • Follow up with connections made at the conference
Tableau Practice Project
Reinforces all of the knowledge and skills learned throughout the course.
Browse courses on Tableau
Show steps
  • Identify an interesting dataset
  • Develop a project proposal
  • Import the dataset into Tableau
  • Visualize and explore the data
  • Create a dashboard and publish it on Tableau Public

Career center

Learners who complete Data Visualization with Tableau Project will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst processes raw data to make informed decisions. They are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course is beneficial for aspiring Data Analysts because it provides hands-on experience with Tableau, a popular data visualization tool. The course teaches students how to create clear and concise visualizations that can be used to communicate insights to stakeholders.
Business Analyst
Business Analysts use data to solve business problems and improve performance. They work with stakeholders to understand their needs and then use data to develop solutions. This course can help Business Analysts develop the skills they need to create effective data visualizations that can be used to communicate insights to stakeholders. The course also teaches students how to use Tableau to create interactive dashboards that can be used to track progress and identify areas for improvement.
Data Scientist
Data Scientists use data to build models and predict outcomes. They work with large datasets to identify patterns and trends that can be used to make informed decisions. This course can help Data Scientists develop the skills they need to create effective data visualizations that can be used to communicate insights to stakeholders. The course also teaches students how to use Tableau to create interactive dashboards that can be used to track progress and identify areas for improvement.
Market Researcher
Market Researchers collect and analyze data to understand consumer behavior and trends. They use this information to help businesses make informed decisions about product development, marketing campaigns, and pricing. This course can help Market Researchers develop the skills they need to create effective data visualizations that can be used to communicate insights to stakeholders. The course also teaches students how to use Tableau to create interactive dashboards that can be used to track progress and identify areas for improvement.
Financial Analyst
Financial Analysts use data to evaluate the financial performance of companies and make investment recommendations. They work with financial data to identify trends and patterns that can be used to make informed decisions. This course can help Financial Analysts develop the skills they need to create effective data visualizations that can be used to communicate insights to stakeholders. The course also teaches students how to use Tableau to create interactive dashboards that can be used to track progress and identify areas for improvement.
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of business operations. They work with data to identify problems and develop solutions that can be used to improve productivity and reduce costs. This course can help Operations Research Analysts develop the skills they need to create effective data visualizations that can be used to communicate insights to stakeholders. The course also teaches students how to use Tableau to create interactive dashboards that can be used to track progress and identify areas for improvement.
Statistician
Statisticians use data to make inferences about the world. They work with data to identify patterns and trends that can be used to make informed decisions. This course can help Statisticians develop the skills they need to create effective data visualizations that can be used to communicate insights to stakeholders. The course also teaches students how to use Tableau to create interactive dashboards that can be used to track progress and identify areas for improvement.
Data Visualization Specialist
Data Visualization Specialists create visual representations of data that can be used to communicate insights to stakeholders. They work with data to identify patterns and trends that can be used to make informed decisions. This course can help Data Visualization Specialists develop the skills they need to create effective data visualizations that can be used to communicate insights to stakeholders. The course also teaches students how to use Tableau to create interactive dashboards that can be used to track progress and identify areas for improvement.
Data Engineer
Data Engineers build and maintain the infrastructure that is used to store and process data. They work with data to ensure that it is accurate, consistent, and accessible. This course may be useful for aspiring Data Engineers because it provides hands-on experience with Tableau, a popular data visualization tool. The course teaches students how to create clear and concise visualizations that can be used to communicate insights to stakeholders.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with data to ensure that it is accurate, consistent, and accessible. This course may be useful for aspiring Software Engineers because it provides hands-on experience with Tableau, a popular data visualization tool. The course teaches students how to create clear and concise visualizations that can be used to communicate insights to stakeholders.
Database Administrator
Database Administrators manage and maintain databases. They work with data to ensure that it is accurate, consistent, and accessible. This course may be useful for aspiring Database Administrators because it provides hands-on experience with Tableau, a popular data visualization tool. The course teaches students how to create clear and concise visualizations that can be used to communicate insights to stakeholders.
Information Architect
Information Architects design and organize the structure of websites and other digital products. They work with data to ensure that it is easy to find and use. This course may be useful for aspiring Information Architects because it provides hands-on experience with Tableau, a popular data visualization tool. The course teaches students how to create clear and concise visualizations that can be used to communicate insights to stakeholders.
UX Designer
UX Designers design and evaluate the user experience of websites and other digital products. They work with data to ensure that products are easy to use and meet the needs of users. This course may be useful for aspiring UX Designers because it provides hands-on experience with Tableau, a popular data visualization tool. The course teaches students how to create clear and concise visualizations that can be used to communicate insights to stakeholders.
Web Developer
Web Developers design and develop websites and other digital products. They work with data to ensure that products are easy to use and meet the needs of users. This course may be useful for aspiring Web Developers because it provides hands-on experience with Tableau, a popular data visualization tool. The course teaches students how to create clear and concise visualizations that can be used to communicate insights to stakeholders.
Graphic designer
Graphic Designers create visual content for websites, print, and other media. They work with data to ensure that content is clear and effective. This course may be useful for aspiring Graphic Designers because it provides hands-on experience with Tableau, a popular data visualization tool. The course teaches students how to create clear and concise visualizations that can be used to communicate insights to stakeholders.

Reading list

We've selected 21 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Visualization with Tableau Project.
Classic work on data visualization, covering topics such as data types, visual encodings, and best practices. It valuable resource for anyone who wants to learn more about data visualization.
Provides a comprehensive guide to data visualization, covering topics such as data storytelling, visual design, and best practices. It valuable resource for anyone who wants to create effective data visualizations.
Provides essential guidelines for creating effective data visualizations. It covers topics such as choosing the right chart type, using color effectively, and designing for usability.
Provides a practical guide to using Tableau, covering topics such as data preparation, visualization design, and dashboard creation. It valuable resource for anyone who wants to learn how to use Tableau effectively.
Provides a comprehensive introduction to data visualization, covering topics such as data types, visual encodings, and best practices. It valuable resource for anyone who wants to learn more about data visualization.
Provides a practical guide to data visualization, covering topics such as data storytelling, visual design, and best practices. It valuable resource for anyone who wants to create effective data visualizations.
Provides a comprehensive introduction to the Python programming language, covering topics such as data manipulation, visualization, and statistical modeling. It valuable resource for anyone who wants to learn how to use Python for data analysis.
Provides a comprehensive introduction to data visualization with Python and JavaScript, covering topics such as data preparation, visualization design, and interactive visualizations. It valuable resource for anyone who wants to learn how to create data visualizations with Python and JavaScript.
Provides a comprehensive introduction to the R programming language, covering topics such as data manipulation, visualization, and statistical modeling. It valuable resource for anyone who wants to learn how to use R for data analysis.
Provides a comprehensive overview of data science, covering topics such as data collection, data cleaning, and data analysis. It valuable resource for anyone who wants to learn more about data science.
Provides a comprehensive introduction to deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone who wants to learn more about deep learning.
This classic text on data visualization must-read for anyone serious about creating effective data visualizations. It covers topics such as the visual perception of data, the use of color, and the design of charts and graphs.
Provides a comprehensive guide to designing effective information dashboards. It covers topics such as the types of dashboards, the use of color, and the principles of visual perception.
Provides a comprehensive introduction to statistical learning, covering topics such as linear regression, logistic regression, and decision trees. It valuable resource for anyone who wants to learn more about statistical learning.
Provides a comprehensive introduction to data mining, covering topics such as data preprocessing, feature selection, and model evaluation. It valuable resource for anyone who wants to learn more about data mining.
Provides a theoretical foundation for visual communication design. It covers topics such as the principles of visual perception, the use of color, and the design of charts and graphs.
Provides a practical guide to creating stunning graphics and visualizations. It covers topics such as choosing the right chart type, using color effectively, and designing for usability.
Provides a practical guide to creating data visualizations that are both accurate and beautiful. It covers topics such as choosing the right chart type, using color effectively, and designing for clarity.
Provides a comprehensive guide to data visualization. It covers topics such as the principles of visual perception, the use of color, and the design of charts and graphs.
Provides a comprehensive guide to Tableau for beginners. It covers topics such as data preparation, chart creation, and dashboard design.

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