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Jason Browning, Ph.D.

This course will introduce you to best practices that will help you create more effective visualizations and help you pass the Tableau Desktop Certified Professional exam.

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This course will introduce you to best practices that will help you create more effective visualizations and help you pass the Tableau Desktop Certified Professional exam.

Visualization is an important tool for exploring and understanding data. In this course, Tableau Desktop Certified Professional: Visual Best Practices, you’ll learn about commonly accepted best practices in data visualization. These visual best practices are emphasized on the Tableau Desktop Certified Professional exam. First, you’ll learn about several popular chart types and what types are most suitable for different purposes. Next, you’ll discover how to use design elements of color, fonts, and space to enhance your visualization. Finally, you’ll explore how to use tooltips and titles to help guide your audience and heighten their focus on the most important data. When you’re finished with this course, you’ll have the knowledge needed to enhance your data visualization work and increase its impact.

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What's inside

Syllabus

Course Overview
Introducing Visual Best Practice
Choosing the Optimal Chart Type
Enhancing Impact with Design Elements
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Redesigning Tooltips and Titles
Summary

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores visualization best practices that are emphasized on the Tableau Desktop Certified Professional exam
Taught by Dr. Jason Browning, who is recognized for their work in data visualization
Develops skills that are core for passing the Tableau Desktop Certified Professional exam
Provides a strong foundation for beginners in data visualization

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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 Tableau Desktop Certified Professional: Visual Best Practices with these activities:
Review course materials before the start of the course
Review the course materials to refresh your knowledge and be familiar with the topics that will be covered in the course.
Browse courses on Data Visualization
Show steps
  • Read the syllabus and course description
  • Preview the lecture videos and slides
  • Complete any pre-course assignments
Review best practices in data visualization
Review visual best practices for data visualization to ensure you have a solid understanding of the fundamentals before the course begins.
Show steps
  • Review online resources on data visualization best practices
  • Read books or articles on the topic of data visualization best practices
  • Watch videos or tutorials on how to create effective data visualizations
Practice creating different types of charts
Practice creating different types of charts commonly used in data visualization to strengthen your skills and prepare for the Tableau Desktop Certified Professional exam.
Browse courses on Chart Types
Show steps
  • Use a data visualization tool to create bar charts, line charts, pie charts, and scatter plots
  • Experiment with different chart options and settings to see how they affect the visualization
  • Get feedback on your visualizations from others
Two other activities
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Help other students in the course
Help fellow students in the course as a mentor to reinforce your understanding of the subject and improve your communication skills while helping others.
Browse courses on Mentoring
Show steps
  • Identify a fellow student who is struggling with the material
  • Offer to help them understand the concepts
  • Meet with them regularly to answer their questions and provide support
Follow tutorials on advanced data visualization techniques
Follow tutorials on advanced data visualization techniques to expand your skills and knowledge beyond the scope of the course, preparing you for more complex data visualization challenges.
Show steps
  • Find tutorials on topics that interest you or that you find challenging
  • Follow the steps in the tutorial and practice the techniques
  • Apply the techniques to your own data visualization projects

Career center

Learners who complete Tableau Desktop Certified Professional: Visual Best Practices will develop knowledge and skills that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialists design and develop data visualizations. They work in a variety of industries, including technology, finance, and healthcare. This course teaches essential data visualization best practices that Data Visualization Specialists use when presenting visualizations to stakeholders; making this course a useful element of training.
Business Analyst
Business Analysts use data and analytics to improve business processes. They work in a variety of industries, including consulting, technology, and healthcare. This course teaches essential data visualization best practices that Business Analysts use when presenting recommendations to stakeholders; making this course a useful element of training.
Visual Communication Specialist
Visual Communication Specialists design and develop visual communication materials, such as presentations, infographics, and videos. They work in a variety of industries, including technology, finance, and healthcare. This course teaches essential data visualization best practices that Visual Communication Specialists use when presenting visual communication materials to stakeholders; making this course a useful element of training.
Data Analyst
Data Analysts use data to solve business problems. They work in a variety of industries, including finance, healthcare, and retail. This course teaches essential data visualization best practices that Data Analysts use when communicating insights to stakeholders; making this course a useful element of training.
Data Scientist
Data Scientists use data to build predictive models. They work in a variety of industries, including finance, healthcare, and technology. This course teaches essential data visualization best practices that Data Scientists use when communicating insights to stakeholders; making this course a useful element of training.
Financial Analyst
Financial Analysts use data to make investment recommendations. They work in a variety of industries, including finance, investment banking, and wealth management. This course teaches essential data visualization best practices that Financial Analysts use when presenting investment recommendations to clients; making this course a useful element of training.
Actuary
Actuaries use data to assess risk. They work in a variety of industries, including insurance, finance, and healthcare. This course teaches essential data visualization best practices that Actuaries use when presenting risk assessments to stakeholders; making this course a useful element of training.
Market Researcher
Market Researchers use data to understand consumer behavior. They work in a variety of industries, including consumer goods, technology, and healthcare. This course teaches essential data visualization best practices that Market Researchers use when presenting research findings to stakeholders; making this course a useful element of training.
User Experience Designer
User Experience Designers design and develop user interfaces for websites, mobile apps, and other digital products. They work in a variety of industries, including technology, consumer goods, and healthcare. This course teaches essential data visualization best practices that User Experience Designers use when presenting design concepts to stakeholders; making this course a useful element of training.
Quantitative Analyst
Quantitative Analysts use statistical modeling to make predictions about future market behavior. They are employed by hedge funds, investment banks, and other financial institutions. This course teaches essential data visualization best practices that Quantitative Analysts use when interpreting data patterns and drawing conclusions; making this course a useful element of training.
Information Architect
Information Architects design and develop the structure and organization of websites, intranets, and other information systems. They work in a variety of industries, including technology, finance, and healthcare. This course teaches essential data visualization best practices that Information Architects use when presenting information architecture concepts to stakeholders; making this course a useful element of training.
Product Manager
Product Managers are responsible for the development and launch of new products. They work in a variety of industries, including technology, consumer goods, and healthcare. This course teaches essential data visualization best practices that Product Managers use when presenting product concepts to stakeholders; making this course a useful element of training.
Marketing Manager
Marketing Managers are responsible for the development and execution of marketing campaigns. They work in a variety of industries, including consumer goods, technology, and healthcare. This course teaches essential data visualization best practices that Marketing Managers use when presenting campaign results to stakeholders; making this course a useful element of training.
Sales Manager
Sales Managers are responsible for the development and execution of sales strategies. They work in a variety of industries, including consumer goods, technology, and healthcare. This course teaches essential data visualization best practices that Sales Managers use when presenting sales data to stakeholders; making this course a useful element of training.
Software Engineer
Software Engineers design, develop, and maintain software systems. They work in a variety of industries, including technology, finance, and healthcare. This course teaches essential data visualization best practices that Software Engineers use when designing user interfaces and dashboards; making this course a useful element of training.

Reading list

We've selected 17 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 Tableau Desktop Certified Professional: Visual Best Practices.
This classic work on data visualization must-read for anyone interested in creating effective visualizations. Tufte's insights into the principles of data visualization are timeless and continue to be highly relevant today.
Provides a comprehensive guide to designing effective information dashboards. Few covers the principles of dashboard design, including the use of color, typography, and layout.
Provides a comprehensive introduction to data visualization, covering the fundamental principles and best practices. It valuable resource for learners who want to gain a solid foundation in data visualization.
Collection of case studies on effective data visualization. Steele and Iliinsky showcase a variety of real-world examples of how data visualization has been used to communicate complex information in a clear and engaging way.
Practical guide to choosing the right chart type for your data. Few provides a clear and concise explanation of the different types of charts and when to use them.
Comprehensive guide to using Tableau for data visualization. Cotgreave covers all the essential features of Tableau, from data preparation to creating visualizations and dashboards.
Provides a collection of essays on data visualization from leading experts in the field. Yau covers a wide range of topics, including the history of data visualization, the principles of effective design, and the use of data visualization to communicate complex information.
Classic work on data visualization, covering the principles of dashboard design. It great resource for anyone who wants to learn how to design effective dashboards.
Explores the ethical and social implications of data visualization. Cairo argues that data visualization is not just a technical skill, but also a form of communication that can be used to influence public opinion and decision-making.
Practical guide to choosing the right chart type for your data. It covers the basics of data visualization, as well as more advanced topics such as data storytelling and creating interactive visualizations.
Hands-on guide to using Tableau, covering the basics of the software, as well as more advanced topics such as data blending and creating interactive dashboards. It great resource for beginners who want to learn how to use Tableau, as well as for more experienced users who want to improve their skills.
Practical guide to using data to tell stories. It covers the basics of data storytelling, as well as more advanced topics such as data visualization and data analysis. It great resource for anyone who wants to learn how to use data to communicate effectively.
Classic work on data visualization, covering the principles of data visualization. It great resource for anyone who wants to learn how to design effective visualizations.
Practical guide to using ggplot2, a popular data visualization library for R. It covers the basics of ggplot2, as well as more advanced topics such as data manipulation and creating interactive visualizations. It great resource for anyone who wants to learn how to use ggplot2 to create effective visualizations.
Practical guide to using D3.js, a popular data visualization library for JavaScript. It covers the basics of D3.js, as well as more advanced topics such as data manipulation and creating interactive visualizations. It great resource for anyone who wants to learn how to use D3.js to create effective visualizations.
Practical guide to using Python and JavaScript for data visualization. It covers the basics of data visualization, as well as more advanced topics such as data manipulation and creating interactive visualizations. It great resource for anyone who wants to learn how to use Python and JavaScript to create effective visualizations.

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