Course Summary
Learn the principles of data visualization and apply them to create effective visualizations. Develop skills in data analysis, design, and storytelling to create compelling visualizations that communicate insights and drive action.Key Learning Points
- Understand the principles of data visualization
- Develop skills in data analysis and design
- Learn effective storytelling techniques
- Create compelling visualizations that communicate insights and drive action
Related Topics for further study
Learning Outcomes
- Ability to create effective data visualizations
- Develop skills in data analysis and design
- Learn effective storytelling techniques
Prerequisites or good to have knowledge before taking this course
- Basic understanding of data analysis
- Experience with data visualization tools
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Video lectures
- Hands-on assignments
Similar Courses
- Data Visualization with Tableau
- Data Analysis and Visualization
Related Education Paths
Notable People in This Field
- Nathan Yau
Related Books
Description
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!
Knowledge
- 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
Outline
- Getting Started and Milestone 1: Develop a Project Proposal
- Project Welcome
- Milestone 1 Assignment Overview
- Save Workbooks to Tableau Public
- Design Checklist Template
- Sample Design Checklist
- Resources on the Who, What, Why, and How
- Resources on Audience
- Examples of Single Frame Visualizations
- Examples of Multi-Frame Data Stories
- Milestone 2: Importing and Prepping the Data
- Milestone 2 Assignment Overview
- Preparing Your Data for Import
- Primary Types of Connections
- Connecting and Merging Multiple Data Sources
- Milestone 3: Exploratory Analysis
- Milestone 3 Assignment Overview
- What is Exploratory and Explanatory Analysis?
- Case Study: Anscombe’s Quartet
- Identifying Outliers
- Constructing a Control Chart
- Tableau Whitepaper
- Conducting Visual Analytics
- Milestone 3: Exploratory Analysis and Dashboard Submission
- Key Metrics, Indicators, Decision Triggers
- Dashboard and Storytelling with Data
- Milestone 4: Storytelling and Storyboarding
- Milestone 4 Assignment Overview
- Finding the Story
- Prioritizing, Optimizing and Designing the Data Story
- Tell the Story of Your Data
- Milestone 5: Final Presentation
- Milestone 5 Assignment Overview
- Project Summary
Summary of User Reviews
Discover the art of Data Visualization with this Coursera course! Users have praised this course for its comprehensive approach to teaching, clear instructions and engaging assignments. Many users found the course to be a great introduction to the topic of Data Visualization. Overall, this course has received high praise from users.Key Aspect Users Liked About This Course
Many users have praised the course's comprehensive approach to teaching Data VisualizationPros from User Reviews
- Clear instructions provided throughout the course
- Engaging assignments that help reinforce learning
- Great introduction to the topic of Data Visualization
- Course material is presented in a well-organized manner
- Instructors are knowledgeable and helpful
Cons from User Reviews
- Course may be too basic for those with prior experience in Data Visualization
- Some users found the course to be too time-consuming
- Lack of interaction with other students in the course
- Some users found the assignments to be too challenging
- Limited application of the course material to real-world scenarios
Suk S. Brar, M.B.A.
4.6 Raiting
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