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Kevin Hartman

Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?”

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Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?”

Discusses the challenges of making data understandable across a wide range of audiences. Introduces the fundamentals of communication required for effective data storytelling. Other topics may include ethical uses of information displays, storytelling, infographics, and immersive visualizations. Offers students an opportunity to use one or more software tools.

Looking for a for-credit offering of this course?

Take this course as a 3-credit For-Credit, Non-Degree course and get a taste Northeastern University's world-class online programs without the commitment of a full degree. Take the course as a standalone for credit or stack the credits into eligible degree and certificate programs.

Learn more and register: https://online.northeastern.edu/courses/information-visuals-and-dashboards-for-business

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What's inside

Syllabus

Planning Your Data Story
In this module, you will start learning about the key objective of a data analyst: creating a beautiful data story. You will learn about the project case study you’ll work on through the duration of the course, then begin thinking about how to map out stories in your data. Next, you’ll take a look at the basics of a tool professionals use to visualize data: Tableau. You’ll wrap up by figuring out how to take your first steps on a data analytics project and hear from Mayo Clinic.
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Exploratory Data Analysis
In this module we will cover visualization basics, diving deep into the characteristics of a high quality and persuasive data visualization. We’ll talk specifically about using contrast to clearly illustrate your insights.
Creating Visualizations
Communicating Meaning Through Data
In this module, you’ll build on the work from the previous module, focusing on polishing and improving your dataviz. This week emphasizes clear meaning.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Focuses on creating meaningful visual representations of data that drive impactful business decision-making
Develops proficiency in data collection, visualization techniques, and insights extraction
Examines the nuances of data visualization across diverse audiences, fostering effective communication and storytelling
Introduces ethical considerations in data visualization, ensuring responsible use of information displays
Covers a wide range of topics, including infographics and immersive visualizations, expanding visualization skills
Provides hands-on experience with software tools, enabling practical application of visualization techniques

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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 Healthcare Information Design and Visualizations with these activities:
Read Edward Tufte's "The Visual Display of Quantitative Information"
Tufte's book is a classic in the field of data visualization and will provide you with a strong theoretical foundation for the course.
View Beautiful Evidence on Amazon
Show steps
  • Read through the book carefully
  • Take notes on the key concepts and principles
  • Apply the principles to your own data visualization projects
Review the basics of data analysis
This will ensure that you have a solid foundation in data analysis before starting the course.
Browse courses on Data Analysis
Show steps
  • Review your notes from previous courses or textbooks
  • Complete a few practice problems
  • Take a refresher course or workshop
Test your Tableau skills
This refresher will prime you to hit the ground running when working with Tableau for this course.
Browse courses on Tableau
Show steps
  • Review the Tableau documentation
  • Complete a few beginner-friendly tutorials
  • Practice creating some basic visualizations
Four other activities
Expand to see all activities and additional details
Show all seven activities
Start a data visualization project
Getting an early start on a project will provide you with valuable hands-on experience and help you better understand the course material.
Browse courses on Data Visualization
Show steps
  • Choose a dataset that interests you
  • Explore the data and identify some potential insights
  • Start creating some visualizations to explore your insights
Attend a data visualization conference or meetup
Attending conferences or meetups can be a good way to gain new insights from experts in the field of data visualization, connect with potential employers, and network with others who share your interests.
Browse courses on Data Visualization
Show steps
  • Find a conference or meetup that interests you
  • Register for the event and attend
  • Listen to the presentations and ask questions
  • Network with other attendees
Participate in a data visualization competition
Competitions are a great way to test your skills, get feedback from experts, and learn from others.
Browse courses on Data Visualization
Show steps
  • Find a competition that interests you
  • Read the competition guidelines carefully
  • Create a data visualization that meets the competition requirements
  • Submit your visualization and wait for the results
Create a data visualization blog or portfolio
Putting together a portfolio or a blog will force you to organize your thoughts and present your work in a clear and concise way.
Browse courses on Data Visualization
Show steps
  • Choose a platform for your blog or portfolio
  • Create some high-quality data visualizations to showcase
  • Write engaging and informative articles or posts to accompany your visualizations
  • Share your work with others and get feedback

Career center

Learners who complete Healthcare Information Design and Visualizations will develop knowledge and skills that may be useful to these careers:
Tableau Developer
Tableau Developers use the Tableau software to create data visualizations. This course may be useful in developing the skills needed to create meaningful visualizations that communicate information effectively using Tableau.
Data Storyteller
Data Storytellers use data to tell stories and communicate insights. This course may be useful in developing the skills needed to communicate data effectively, including the use of visualizations.
Data Visualization Specialist
Data Visualization Specialists are responsible for creating visualizations that communicate data effectively. This course may be useful in developing the skills needed to create meaningful visualizations that communicate information effectively.
Infographics Designer
Infographics Designers create visual representations of data and information. This course may be useful in developing the skills needed to create meaningful visualizations that communicate information effectively.
Data Scientist
Data Scientists use a variety of statistical and machine learning techniques to extract insights from data. This course may be useful in developing the skills needed to work with data in a variety of ways, including data collection and processing, visualization, and storytelling. Those who wish to make a career change to Data Scientist may also find this course helpful in building a foundation of data science skills.
Visual Communication Designer
Visual Communication Designers use visual elements to communicate ideas and information. This course may be useful in developing the skills needed to create meaningful visualizations that communicate information effectively.
Business Analyst
Business Analysts work with stakeholders to analyze business processes and identify areas for improvement. They may also be responsible for creating visualizations to communicate their findings to stakeholders. This course may be useful in developing the skills needed to communicate data effectively, including the use of visualizations.
User Experience Designer
User Experience Designers are responsible for the overall experience that users have with a product or service. This course may be useful in developing the skills needed to create meaningful visualizations that communicate information effectively.
Data Analyst
Data Analysts are in charge of collecting, cleaning, and interpreting data in order to draw meaningful conclusions and solve business problems. This course may be useful in developing the skills needed to work with data in a variety of ways, including data collection and processing, visualization, and storytelling. Those who wish to make a career change to Data Analyst may also find this course helpful in building a foundation of data analysis skills.
Product Manager
Product Managers are responsible for the development and launch of new products and services. This course may be useful in developing the skills needed to communicate data effectively, including the use of visualizations.
Information Architect
Information Architects design and organize websites and other digital products to make them easy to use and understand. This course may be useful in developing the skills needed to create meaningful visualizations that communicate information effectively.
Marketing Analyst
Marketing Analysts use data to understand customer behavior and develop marketing campaigns. This course may be useful in developing the skills needed to work with data in a variety of ways, including data collection and processing, visualization, and storytelling.
Operations Research Analyst
Operations Research Analysts use data to solve business problems. This course may be useful in developing the skills needed to work with data in a variety of ways, including data collection and processing, visualization, and storytelling.
Financial Analyst
Financial Analysts use data to make investment decisions. This course may be useful in developing the skills needed to work with data in a variety of ways, including data collection and processing, visualization, and storytelling.
Statistician
Statisticians use data to solve a variety of problems. This course may be useful in developing the skills needed to work with data in a variety of ways, including data collection and processing, visualization, and storytelling.

Reading list

We've selected 11 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 Healthcare Information Design and Visualizations.
A comprehensive textbook on information visualization, this book provides a deep dive into the cognitive and perceptual factors that affect the design and evaluation of visualizations. It valuable resource for anyone who wants to learn more about the theoretical foundations of data visualization.
A classic work on data visualization, this book provides a deep dive into the principles and techniques of creating effective visualizations. It valuable resource for anyone who wants to learn more about the theory and practice of data visualization.
A comprehensive and easy-to-follow introduction to data visualization, this book covers the fundamental principles of creating clear and effective visualizations. It valuable resource for beginners and intermediate learners alike.
A thought-provoking exploration of the ethics and best practices of data visualization, this book provides a critical lens for evaluating the effectiveness and impact of visualizations. It valuable resource for anyone who wants to learn more about the responsible use of data visualization.
A comprehensive guide to using D3.js for data visualization, this book provides step-by-step instructions for creating a variety of visualizations. It valuable resource for anyone who wants to learn how to use D3.js for data visualization.
A collection of essays on data visualization, this book provides a unique perspective on the field and its challenges. It valuable resource for anyone who wants to learn more about the art and science of data visualization.
A practical guide to using Tableau, this book provides step-by-step instructions for creating a variety of visualizations. It valuable resource for anyone who wants to learn how to use Tableau for data visualization.
A practical guide to creating interactive data visualizations for the web, this book provides step-by-step instructions for using a variety of tools and techniques. It valuable resource for anyone who wants to learn how to create engaging and informative online visualizations.
A practical guide to using R for data visualization, this book provides step-by-step instructions for creating a variety of visualizations. It valuable resource for anyone who wants to learn how to use R for data visualization.
A beginner-friendly introduction to data visualization, this book covers the basics of creating clear and effective visualizations. It valuable resource for anyone who wants to learn the fundamentals of data visualization without getting too technical.

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