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Dan Appleman

The ability to interpret the truth, accuracy, and objectivity in data visualizations is incredibly important, whether you are creating your own visualizations or are interpreting those you see. This course will teach you these skills.

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The ability to interpret the truth, accuracy, and objectivity in data visualizations is incredibly important, whether you are creating your own visualizations or are interpreting those you see. This course will teach you these skills.

We live in a period of time where we can capture and process unbelievable amounts of data. In this course, Objectivity in Data Visualization, you'll gain the ability to evaluate the truth, accuracy, and objectivity of data and visualizations both for creating visualizations and for interpreting those created by others. First, you’ll learn about objectivity in data – the meaning of data and the impact of data selection on objectivity. Next, you’ll examine objectivity in visual elements – how the visual elements of a chart or graphic can influence objectivity or distort the truth. Finally, you’ll explore interpretation and storytelling – where you’ll discover that accurate data and carefully crafted visuals are not enough on their own to tell an objective story. These skills are especially important today as we are constantly bombarded with data and visualizations that claim to tell objective truth but are, in fact, full of lies, whether intentional or unintentional. By the end of the course, you'll be able to detect the lies and hidden biases in visualizations you see and will be able to create visualizations that you can stand behind with confidence.

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What's inside

Syllabus

Course Overview
The Art of Lying
Objectivity in Data
Objectivity in Visual Elements
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Interpretation and Storytelling

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches skills, knowledge, and tools that are highly relevant to industry
Taught by Dan Appleman, who is recognized for their work in data visualization
Examines objectivity in data visualization, which is highly relevant to creating accurate and reliable data visualizations
Develops skills in interpreting the truth, accuracy, and objectivity in data visualizations, which are core skills for data scientists and analysts

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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 Objectivity in Data Visualization with these activities:
Tutorial on data visualization best practices
Best practices for data visualization will provide additional context and insight to the course contents.
Show steps
  • Find a tutorial on data visualization best practices
  • Watch the tutorial
  • Apply the best practices to your own visualizations
Plot data on a Scatterplot
Getting up to speed on scatterplots will help you when the course covers interpreting them.
Browse courses on Data Visualization
Show steps
  • Review the concept of a Scatterplot
  • Plot data points on graph paper
  • Use software to plot data
Participate in a peer review of data visualizations
Receiving peer feedback will reinforce your understanding and give you additional insight.
Show steps
  • Find a peer review group
  • Share your data visualizations with the group
  • Provide feedback on other visualizations
  • Incorporate feedback into your own visualizations
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a visualization of your daily calorie intake
Creating a visual representation of your data will reinforce your objectivity learning.
Show steps
  • Track your daily calorie intake
  • Choose a visualization method
  • Create the visualization
  • Interpret the visualization
Attend a data visualization conference or workshop
Attending events will provide supplement to the course material and additional networking opportunities.
Show steps
  • Find a data visualization conference or workshop
  • Register for the event
  • Attend the event
  • Network with other attendees
Volunteer for a data visualization project
Volunteering on a data visualization project will provide you with hands-on experience and insights.
Show steps
  • Find a data visualization project to volunteer for
  • Contact the project organizer
  • Volunteer your time and skills
Analyze and interpret data visualizations
Practice interpreting visualizations to better apply the course material
Show steps
  • Find data visualizations online
  • Describe the visualization
  • Identify biases or inaccuracies
  • Come to a conclusion
Participate in a data visualization competition
Participating in a data visualization competition will challenge you to apply your skills and knowledge.
Show steps
  • Find a data visualization competition
  • Register for the competition
  • Create a data visualization
  • Submit your visualization to the competition

Career center

Learners who complete Objectivity in Data Visualization will develop knowledge and skills that may be useful to these careers:
Data Visualization Analyst
Data Visualization Analysts help businesses tell stories with data by visualizing complex data sets in presentations, reports, and dashboards. In this role, you may work with a variety of stakeholders, including executives and marketing professionals, who rely on your ability to convey information clearly and concisely. This course will provide you with the skills you need to create accurate and objective visualizations that can be easily understood by a variety of audiences.
Information Architect
Information Architects design and organize websites and other digital products. They work with users to understand their needs and create user-friendly interfaces. In this role, you may use data visualization techniques to present information in a clear and concise way. This course will provide you with the skills you need to create accurate and objective visualizations that can help users find the information they need.
User Experience Designer
User Experience Designers design and evaluate digital products. They work with users to understand their needs and create user-friendly interfaces. In this role, you may use data visualization techniques to present information in a clear and concise way. This course will provide you with the skills you need to create accurate and objective visualizations that can help users have a better experience with your products.
Business Analyst
Business Analysts help businesses understand their operations and make better decisions. They work with stakeholders to identify business needs and develop solutions. In this role, you may use data visualization techniques to communicate your findings to stakeholders. This course will provide you with the skills you need to create accurate and objective visualizations that can help businesses make better decisions.
Data Analyst
Data Analysts use data to solve business problems and make informed decisions. They work with data from a variety of sources, including databases, spreadsheets, and surveys. In this role, you may use statistical techniques to analyze data and identify trends. This course will provide you with the skills you need to evaluate the truth, accuracy, and objectivity of data, which is essential for making sound business decisions.
Software Developer
Software Developers design, develop, and maintain computer software. They work with users to understand their needs and create software that meets those needs. In this role, you may use data visualization techniques to present information in a clear and concise way. This course will provide you with the skills you need to create accurate and objective visualizations that can help users understand your software.
Financial Analyst
Financial Analysts help businesses make investment decisions. They work with data from a variety of sources, including financial statements, market research, and economic data. In this role, you may use data visualization techniques to present your findings to stakeholders. This course will provide you with the skills you need to create accurate and objective visualizations that can help businesses make better investment decisions.
Operations Research Analyst
Operations Research Analysts use mathematical and statistical techniques to solve business problems. They work with data from a variety of sources, including sales data, production data, and customer data. In this role, you may use data visualization techniques to present your findings to stakeholders. This course will provide you with the skills you need to create accurate and objective visualizations that can help businesses make better decisions.
Statistician
Statisticians collect, analyze, and interpret data. They work with data from a variety of sources, including surveys, experiments, and clinical trials. In this role, you may use data visualization techniques to present your findings to stakeholders. This course will provide you with the skills you need to create accurate and objective visualizations that can help stakeholders make better decisions.
Marketing Analyst
Marketing Analysts help businesses understand their customers and develop marketing campaigns. They work with data from a variety of sources, including surveys, interviews, and social media. In this role, you may use data visualization techniques to present your findings to stakeholders. This course will provide you with the skills you need to create accurate and objective visualizations that can help businesses make better marketing decisions.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with teams of engineers, designers, and marketers to bring products to market. In this role, you may use data visualization techniques to present information about your product to stakeholders. This course will provide you with the skills you need to create accurate and objective visualizations that can help you make better decisions about your product.
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They work with data from a variety of sources, including databases, spreadsheets, and social media. In this role, you may use data visualization techniques to present your findings to stakeholders. This course will provide you with the skills you need to create accurate and objective visualizations that can help businesses make better decisions.
Data Scientist
Data Scientists use data to solve business problems. They work with data from a variety of sources, including databases, spreadsheets, and social media. In this role, you may use data visualization techniques to present your findings to stakeholders. This course may provide you with the skills you need to create accurate and objective visualizations that can help businesses make better decisions.
Database Administrator
Database Administrators maintain and manage databases. They work with data from a variety of sources, including databases, spreadsheets, and social media. In this role, you may use data visualization techniques to present your findings to stakeholders. This course may provide you with the skills you need to create accurate and objective visualizations that can help businesses make better decisions.
Software Engineer
Software Engineers design, develop, and maintain computer software. They work with data from a variety of sources, including databases, spreadsheets, and social media. In this role, you may use data visualization techniques to present your findings to stakeholders. This course may provide you with the skills you need to create accurate and objective visualizations that can help businesses make better decisions.

Reading list

We've selected 12 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 Objectivity in Data Visualization.
A classic work in the field of data visualization, this book covers the principles of visual perception, design and the effective use of color and typography. is also an excellent source for creating data visualizations that are clear, informative and engaging.
A comprehensive reference book on data visualization. provides an overview of the field of data visualization, discusses the different types of data visualizations, and provides guidance on how to choose the right visualization for a particular purpose.
A comprehensive treatment of the field of data visualization, this book covers the psychological and perceptual factors that influence the effectiveness of data visualizations.
A gentle introduction to the field of data visualization. provides a good overview of the principles of data visualization and discusses best practices and common pitfalls.
A book that explores the use of data visualization to communicate complex ideas. provides numerous examples of effective data visualizations and discusses the design principles behind them.
A practical guide for using data visualization to communicate insights and tell stories. discusses how to choose the right charts and graphs, how to design effective infographics, and how to present data in a compelling way.
A discussion of the ethical and social implications of data visualization, this book explores the ways in which data visualizations can be used to deceive or mislead.
A book that presents a variety of data visualizations on a wide range of topics. great source of inspiration for creating effective data visualizations.
A practical guide to creating data visualizations with Python and JavaScript. provides step-by-step instructions on how to create a variety of data visualizations, using both Python and JavaScript libraries.
A guide to creating interactive data visualizations for the web. provides an overview of the different techniques that can be used to create interactive data visualizations, and it provides step-by-step instructions on how to create a variety of interactive data visualizations using JavaScript and D3.js.
A guide to creating data visualizations with Power BI. provides an overview of the Power BI software, and it provides step-by-step instructions on how to create a variety of data visualizations using Power BI.

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