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!
This course is part of the Data Visualization with Tableau Specialization
Data Visualization with Tableau Project
Offered By
About this Course
4.6
102 ratings
What you will learn
Develop a project proposal
Assess the quality of the data and perform exploratory analysis
Create KPIs and dashboards and assess your analysis
Create your data story and write a narrative to accompany your visualization
Skills you will gain
Data AnalysisInteractive VisualizationTableau SoftwareData Visualization (DataViz)
Syllabus - What you will learn from this course
Week
15 hours to complete
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.
2 videos (Total 8 min), 7 readings, 2 quizzes
7 readings
Save Workbooks to Tableau Public10m
Design Checklist Template10m
Sample Design Checklist10m
Resources on the Who, What, Why, and How20m
Resources on Audience30m
Examples of Single Frame Visualizations10m
Examples of Multi-Frame Data Stories10m
Week
23 hours to complete
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.
1 video (Total 1 min), 3 readings, 1 quiz
1 video
3 readings
Preparing Your Data for Import10m
Primary Types of Connections10m
Connecting and Merging Multiple Data Sources10m
Week
31 hour to complete
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.
1 video (Total 2 min), 6 readings
1 video
6 readings
What is Exploratory and Explanatory Analysis?10m
Case Study: Anscombe’s Quartet10m
Identifying Outliers10m
Constructing a Control Chart10m
Tableau Whitepaper10m
Conducting Visual Analytics10m
Week
42 hours to complete
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.
2 readings, 1 quiz
2 readings
Key Metrics, Indicators, Decision Triggers10m
Dashboard and Storytelling with Data10m
4.6
22 Reviews14%
got a tangible career benefit from this course
Top Reviews
great content ever had on online. I love this course very much because this course helped me to make how to make story with a data. Thank you coursera. Keep it up!.
The final project was a great way to bring all the different concepts of the specialization together. I really enjoyed it.
Instructors
Suk S. Brar, M.B.A.
Lead Business ConsultantBlue Shield of California
Hunter Whitney
Sr. Consultant, Author, InstructorDesign Strategy and Data Visualization
About 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.
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.
This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies.
By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
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