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Mat Leonard

Learn the fundamentals of data visualization and practice communicating with data. This course covers how to apply design principles, human perception, color theory, and effective storytelling with data. If you present data to others, aspire to be a business analyst or data scientist, or if you’d like to become more effective with visualization tools, then you can grow your skills with this course.

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Learn the fundamentals of data visualization and practice communicating with data. This course covers how to apply design principles, human perception, color theory, and effective storytelling with data. If you present data to others, aspire to be a business analyst or data scientist, or if you’d like to become more effective with visualization tools, then you can grow your skills with this course.

This course is part of both the Business Analyst and Data Analyst Nanodegree Programs.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Specifically tailored for data analysts, business analysts, and those in related roles
Enhances presentation skills through data visualization techniques
Demystifies human perception and data storytelling
Applicable to various visualization tools
Guided by expert instructors, Mat Leonard, in the field

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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 Data Visualization in Tableau with these activities:
Compile a resource library on data visualization
A resource library will provide students with easy access to relevant articles, tools, and tutorials, supporting their learning journey.
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Show steps
  • Gather articles, tutorials, and tools related to data visualization.
  • Organize the resources into a structured library for easy reference.
  • Review the resources regularly to stay up-to-date on the latest trends.
Attend data visualization conferences and meetups
Networking events allow the student to connect with professionals in the field, learn about the latest trends, and get feedback on their work.
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Show steps
  • Identify relevant data visualization conferences and meetups.
  • Attend the events and introduce yourself to other attendees.
  • Share your work and get feedback from others.
Practice creating different types of data visualizations
Regular practice in creating different types of data visualizations will enhance the student's proficiency in using data visualization tools and techniques.
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  • Choose a dataset and create a variety of visualizations using different tools.
  • Experiment with different chart types and color schemes.
  • Get feedback on the visualizations from peers or instructors.
Five other activities
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Create a data visualization portfolio
Building a data visualization portfolio will provide hands-on experience in creating visualizations and demonstrate the student's skills to potential employers.
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Show steps
  • Gather data on a topic of interest.
  • Clean and prepare the data.
  • Create a variety of data visualizations using different tools.
  • Present the portfolio to peers or potential employers for feedback.
Participate in data visualization workshops
Workshops provide focused, hands-on learning opportunities to enhance practical skills in data visualization.
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Show steps
  • Identify data visualization workshops that align with your learning goals.
  • Register for the workshops and actively participate in the activities.
  • Practice the techniques learned in the workshops.
Follow tutorials on advanced data visualization techniques
Tutorials will expose the student to advanced data visualization techniques, broadening their skillset and knowledge in this area.
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  • Identify areas for improvement in data visualization skills.
  • Find online tutorials or courses that cover these topics.
  • Complete the tutorials and practice the techniques learned.
Review Information Dashboard Design: The Effective Visual Communication of Data
This book provides a detailed overview of how to design data visualizations to effectively communicate data. Students can utilize this knowledge to enhance their data visualization skills.
Show steps
  • Read the book thoroughly.
  • Take notes on key concepts and principles of data visualization design.
  • Review the examples provided in the book.
Contribute to open-source data visualization projects
Contributing to open-source projects allows students to apply their skills in a real-world setting, collaborate with others, and learn from experienced developers.
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Show steps
  • Identify open-source data visualization projects that interest you.
  • Join the project community and contribute to the codebase.
  • Review and provide feedback on others' contributions.

Career center

Learners who complete Data Visualization in Tableau will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst is a professional who uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. Data Analysts use their findings to make recommendations to businesses on how to improve their operations. This course can help you become a successful Data Analyst by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data. This course is part of both the Business Analyst and Data Analyst Nanodegree Programs.
Business Analyst
A Business Analyst is a professional who helps businesses improve their operations by analyzing their data and processes. Business Analysts use their findings to make recommendations to businesses on how to improve their efficiency, effectiveness, and profitability. This course can help you become a successful Business Analyst by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data. This course is part of both the Business Analyst and Data Analyst Nanodegree Programs.
Data Scientist
A Data Scientist is a professional who uses data to solve complex problems. Data Scientists use their skills in mathematics, statistics, and computer science to build models that can predict future outcomes. This course can help you become a successful Data Scientist by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
Information Designer
An Information Designer is a professional who designs and creates information products. Information Designers use their skills in data visualization, design, and communication to create products that are both informative and visually appealing. This course can help you become a successful Information Designer by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
Data Visualization Specialist
A Data Visualization Specialist is a professional who designs and creates data visualizations. Data Visualization Specialists use their skills in data visualization, design, and computer science to create visualizations that are both informative and engaging. This course can help you become a successful Data Visualization Specialist by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
Data Journalist
A Data Journalist is a professional who uses data to tell stories. Data Journalists use their skills in data visualization, storytelling, and journalism to create compelling stories that can inform and engage audiences. This course can help you become a successful Data Journalist by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
Statistical Analyst
A Statistical Analyst is a professional who uses statistics to solve problems. Statistical Analysts use their skills in mathematics, statistics, and computer science to analyze data and identify trends and patterns. This course can help you become a successful Statistical Analyst by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
Operations Research Analyst
An Operations Research Analyst is a professional who uses mathematical models to solve business problems. Operations Research Analysts use their skills in mathematics, statistics, and computer science to build models that can optimize business processes. This course can help you become a successful Operations Research Analyst by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
Information Architect
An Information Architect is a professional who designs and creates the structure of websites and other digital products. Information Architects use their skills in data visualization, design, and information science to create products that are both usable and informative. This course may help you become a more successful Information Architect by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
User Experience Researcher
A User Experience Researcher is a professional who conducts research to understand how users interact with products and services. User Experience Researchers use their skills in data visualization, human-computer interaction, and psychology to gather and analyze data about user behavior. This course may help you become a more successful User Experience Researcher by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
Market Research Analyst
A Market Research Analyst is a professional who conducts research to understand consumer behavior. Market Research Analysts use their skills in data visualization, statistics, and consumer psychology to gather and analyze data about consumer behavior. This course can help you become a successful Market Research Analyst by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
Web Developer
A Web Developer is a professional who designs and creates websites. Web Developers use their skills in programming, design, and data visualization to create websites that are both functional and visually appealing. This course may help you become a more successful Web Developer by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
Graphic designer
A Graphic Designer is a professional who designs and creates visual content. Graphic Designers use their skills in design, typography, and data visualization to create visual content that is both informative and visually appealing. This course may help you become a more successful Graphic Designer by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
Data Engineer
A Data Engineer is a professional who designs and builds data pipelines. Data Engineers use their skills in programming, data management, and data visualization to create data pipelines that are both scalable and reliable. This course may help you become a more successful Data Engineer by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.
Database Administrator
A Database Administrator is a professional who manages and maintains databases. Database Administrators use their skills in data management, database design, and data visualization to ensure that databases are both reliable and performant. This course may help you become a more successful Database Administrator by teaching you the fundamentals of data visualization and how to communicate with data effectively. You will learn how to apply design principles, human perception, color theory, and effective storytelling with data.

Reading list

We've selected eight 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 in Tableau.
A seminal work in data visualization, this book establishes fundamental principles for presenting quantitative information effectively. It explores graphical techniques, visual perception, and cognitive processes to help readers create clear and compelling data visualizations.
Focuses on designing effective information dashboards. It provides a framework for creating dashboards that are clear, concise, and actionable, helping readers present data in a way that supports decision-making and drives business results.
This easy-to-understand guide provides a practical approach to creating effective data visualizations. It covers fundamental design principles, visual perception, and storytelling techniques essential for communicating data clearly and persuasively.
Offers practical guidance on choosing the appropriate chart type for different data types and purposes. It helps readers understand the strengths and limitations of various visualizations and make informed decisions about data presentation.
While this book focuses on data visualization in R, it provides a valuable background in data manipulation and transformation. It covers essential R concepts and techniques that can enhance one's understanding of data preparation and visualization processes in Tableau.
Emphasizes the importance of clear and effective communication in data visualization. It explores various storytelling techniques and design principles to help readers engage audiences and convey insights through visualizations.
Provides a comprehensive overview of data visualization design principles. It covers the visual perception, color theory, and typography, empowering readers to create visually appealing and informative visualizations.

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