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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?” 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, immersive visualizations, and good use of data dashboards. Offers students an opportunity to use one or more software tools.
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What's inside
Syllabus
"Client-Ready" Visuals
In this module you will become re-acquainted with your team's Divvy project. You'll continue preparing "Client-Ready" visuals, reviewing all of the materials that you have thus far and engaging in robust discussion with your fellow learners.
Read more
Syllabus
"Client-Ready" Visuals
In this module you will become re-acquainted with your team's Divvy project. You'll continue preparing "Client-Ready" visuals, reviewing all of the materials that you have thus far and engaging in robust discussion with your fellow learners.
Read more
Refining Execution of Visualizations
This module reintroduces the concepts of “The Ask Behind The Ask,” and stresses the importance of making your data visualizations “Client Ready.” You will learn the concept of refined execution, closing the module with a talk from Val Aniceto discussing the subject.
Presenting Information
This module is all about presenting. Taking the visuals you produced in the previous weeks, you will build a presentation to showcase your data story. In support of this, you’ll consider advanced techniques for structuring your story and determining the audience.
Dashboards
In this module, you'll cover both the simple and complicated aspects of dashboards. We focus on wrapping up the Divvy project and ensure that the executive team have a dashboard that can continue to deliver the same data story you intended from the outset.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores data visualization design principles and techniques important for effective business decision-making
Provides guidance on data collection, visualization creation, and leveraging insights to address problems and opportunities
Emphasizes ethical uses of information displays and effective data storytelling
Kevin Hartman, the instructor, has expertise in creating meaningful data visualizations and storytelling
Provides opportunities to practice visualization creation using software tools
Focuses on preparing 'Client-Ready' visuals and communicating data insights effectively
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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 Designing Engaging Dashboards for Healthcare Analytics with these
activities:
Connect with experts in data visualization
Show steps
Connecting with experts in data visualization provides students with opportunities for guidance, advice, and industry insights, helping them navigate their career paths and stay abreast of the latest trends.
Browse courses on
Mentorship
Show steps
-
Attend industry events and conferences
-
Reach out to professionals through LinkedIn or other networking platforms
Organize course materials for effective learning
Show steps
Organizing course materials aids in efficient study habits, allowing students to easily access and review important concepts and resources throughout the course.
Show steps
-
Create a dedicated study space and materials organization system
-
Organize notes, slides, and readings into a logical structure
-
Use color-coding, highlighting, and annotations to enhance visual cues
Practice creating interactive visualizations
Show steps
By practicing creating interactive visualizations, students can develop their skills in using data visualization tools and techniques, which are essential for effective data analysis and communication.
Browse courses on
Interactive Visualizations
Show steps
-
Choose a dataset and identify a research question or problem to explore
-
Select an appropriate visualization tool and learn its features
-
Create interactive visualizations using the selected tool
-
Test and refine the visualizations to ensure clarity and usability
-
Present the interactive visualizations and explain their insights
Three other activities
Expand to see all activities and additional details
Show all six activities
Participate in peer review and feedback sessions
Show steps
Engaging in peer review and feedback sessions fosters collaboration and allows students to learn from each other, exchanging different perspectives and improving the quality of their data visualizations.
Browse courses on
Peer Review
Show steps
-
Join or create a study group or online community
-
Share work with peers and actively seek feedback
-
Provide thoughtful and constructive criticism to others
Develop a data visualization dashboard
Show steps
Creating a data visualization dashboard solidifies the understanding of dashboard design principles and allows students to apply their skills in a practical setting, enhancing their ability to visualize and communicate data insights.
Browse courses on
Data Dashboards
Show steps
-
Define the purpose and audience of the dashboard
-
Select relevant data sources and metrics
-
Design the dashboard layout and visualizations
-
Develop the dashboard using appropriate tools and technologies
-
Test and iterate on the dashboard to improve usability and effectiveness
Explore advanced data visualization techniques
Show steps
Exploring advanced data visualization techniques broadens students' knowledge of cutting-edge methods and best practices, empowering them to create more impactful and innovative data visualizations.
Show steps
-
Identify specific areas of data visualization that require further exploration
-
Find online tutorials or courses on the chosen topics
-
Follow the tutorials and apply the new techniques to existing visualizations
Connect with experts in data visualization
Show steps
Connecting with experts in data visualization provides students with opportunities for guidance, advice, and industry insights, helping them navigate their career paths and stay abreast of the latest trends.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Attend industry events and conferences
- Reach out to professionals through LinkedIn or other networking platforms
Organize course materials for effective learning
Show steps
Organizing course materials aids in efficient study habits, allowing students to easily access and review important concepts and resources throughout the course.
Show steps
Show steps
Show steps
- Create a dedicated study space and materials organization system
- Organize notes, slides, and readings into a logical structure
- Use color-coding, highlighting, and annotations to enhance visual cues
Practice creating interactive visualizations
Show steps
By practicing creating interactive visualizations, students can develop their skills in using data visualization tools and techniques, which are essential for effective data analysis and communication.
Browse courses on
Interactive Visualizations
Show steps
Show steps
Show steps
- Choose a dataset and identify a research question or problem to explore
- Select an appropriate visualization tool and learn its features
- Create interactive visualizations using the selected tool
- Test and refine the visualizations to ensure clarity and usability
- Present the interactive visualizations and explain their insights
Three other activities
Expand to see all activities and additional details
Show all six activities
Participate in peer review and feedback sessions
Show steps
Engaging in peer review and feedback sessions fosters collaboration and allows students to learn from each other, exchanging different perspectives and improving the quality of their data visualizations.
Browse courses on
Peer Review
Show steps
Show steps
Show steps
- Join or create a study group or online community
- Share work with peers and actively seek feedback
- Provide thoughtful and constructive criticism to others
Develop a data visualization dashboard
Show steps
Creating a data visualization dashboard solidifies the understanding of dashboard design principles and allows students to apply their skills in a practical setting, enhancing their ability to visualize and communicate data insights.
Browse courses on
Data Dashboards
Show steps
Show steps
Show steps
- Define the purpose and audience of the dashboard
- Select relevant data sources and metrics
- Design the dashboard layout and visualizations
- Develop the dashboard using appropriate tools and technologies
- Test and iterate on the dashboard to improve usability and effectiveness
Explore advanced data visualization techniques
Show steps
Exploring advanced data visualization techniques broadens students' knowledge of cutting-edge methods and best practices, empowering them to create more impactful and innovative data visualizations.
Show steps
Show steps
Show steps
- Identify specific areas of data visualization that require further exploration
- Find online tutorials or courses on the chosen topics
- Follow the tutorials and apply the new techniques to existing visualizations
Career center
Learners who complete Designing Engaging Dashboards for Healthcare Analytics will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use their findings to make recommendations and help businesses make informed decisions. This course can help you develop the skills needed to be a successful Data Analyst by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, programming, and machine learning to build models and algorithms that can help businesses solve complex problems. This course can help you develop the skills needed to be a successful Data Scientist by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining the infrastructure that stores and processes data. They work with Data Analysts and Data Scientists to ensure that the data is available and accessible to those who need it. This course can help you develop the skills needed to be a successful Data Engineer by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
Business Analyst
Business Analyst
Business Analysts use their knowledge of business and technology to help organizations improve their performance. They work with stakeholders to identify problems, develop solutions, and implement changes. This course can help you develop the skills needed to be a successful Business Analyst by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
Health Data Analyst
Health Data Analyst
Health Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns in healthcare. They use their findings to make recommendations and help healthcare providers improve the quality of care. This course can help you develop the skills needed to be a successful Health Data Analyst by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
Market Research Analyst
Market Research Analyst
Market Research Analysts are responsible for collecting and analyzing data to understand consumer behavior and trends. They use their findings to help businesses make informed decisions about their products and services. This course can help you develop the skills needed to be a successful Market Research Analyst by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
Risk Analyst
Risk Analyst
Risk Analysts are responsible for identifying and assessing risks to businesses and organizations. They develop strategies to mitigate risks and help organizations make informed decisions. This course can help you develop the skills needed to be a successful Risk Analyst by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data to identify trends and make recommendations on investment decisions. They work with clients to help them manage their money and achieve their financial goals. This course can help you develop the skills needed to be a successful Financial Analyst by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts are responsible for developing and implementing mathematical models to improve the efficiency of business operations. They work with businesses to identify problems, develop solutions, and implement changes. This course can help you develop the skills needed to be a successful Operations Research Analyst by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
Marketing Analyst
Marketing Analyst
Marketing Analysts are responsible for analyzing marketing data to identify trends and make recommendations on marketing strategies. They work with marketing teams to help them develop and implement marketing campaigns that are effective and profitable. This course can help you develop the skills needed to be a successful Marketing Analyst by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
User Experience Researcher
User Experience Researcher
User Experience Researchers are responsible for studying user behavior and feedback to improve the usability and design of products and services. They work with designers and developers to create products and services that are easy to use and enjoyable to interact with. This course can help you develop the skills needed to be a successful User Experience Researcher by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
Data Storyteller
Data Storyteller
Data Storytellers are responsible for communicating data insights to a wide range of audiences in a clear and compelling way. They work with data analysts and scientists to create stories that are engaging and informative. This course can help you develop the skills needed to be a successful Data Storyteller by teaching you how to communicate your findings effectively to a wide range of audiences.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists are responsible for creating visualizations that communicate data insights to a wide range of audiences. They work with data analysts and scientists to create visualizations that are clear, concise, and visually appealing. This course can help you develop the skills needed to be a successful Data Visualization Specialist by teaching you how to create visualizations that are effective and engaging. You will also learn how to communicate your findings effectively to a wide range of audiences.
Data Journalist
Data Journalist
Data Journalists are responsible for using data to tell stories and inform the public. They work with data analysts and scientists to create stories that are engaging, informative, and accessible to a wide range of audiences. This course can help you develop the skills needed to be a successful Data Journalist by teaching you how to collect and process data, create visualizations, and use them to provide insight into a problem. You will also learn how to communicate your findings effectively to a wide range of audiences.
Technical Writer
Technical Writer
Technical Writers are responsible for creating documentation that explains complex technical concepts to a wide range of audiences. They work with engineers and scientists to create documentation that is clear, concise, and accessible. This course can help you develop the skills needed to be a successful Technical Writer by teaching you how to communicate your findings effectively to a wide range of audiences.
For more career information including salaries, visit:
OpenCourser.com/course/wudl9q/designing
Reading list
We've selected seven 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
Designing Engaging Dashboards for Healthcare Analytics.
Save
This classic book on data visualization provides a detailed overview of the principles of data visualization, including how to design effective visualizations and how to avoid common pitfalls.
Save
Provides a comprehensive introduction to data visualization, covering the basics of data visualization, different types of visualizations, and how to choose the right visualization for your data.
Provides a comprehensive overview of Tableau for healthcare, covering the basics of Tableau, how to use Tableau to create visualizations, and how to use Tableau to analyze healthcare data.
Provides a comprehensive overview of Power BI for healthcare analytics, covering the basics of Power BI, how to use Power BI to create visualizations, and how to use Power BI to analyze healthcare data.
Provides a comprehensive overview of machine learning for healthcare, covering the basics of machine learning, different types of machine learning algorithms, and how to use machine learning to improve healthcare outcomes.
Save
Provides a comprehensive overview of big data analytics for healthcare, covering the basics of big data analytics, different types of big data analytics techniques, and how to use big data analytics to improve healthcare outcomes.
Provides a comprehensive overview of the healthcare data analytics handbook, covering the basics of healthcare data analytics, different types of healthcare data, and how to use healthcare data analytics to improve healthcare outcomes.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/wudl9q/designing
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Via
Coursera
Institution
Northeastern University
Instructor
Kevin Hartman
Language
English
Good to know
Explores data visualization design principles and techniques important for effective business decision-making
Provides guidance on data collection, visualization creation, and leveraging insights to address problems and opportunities
Emphasizes ethical uses of information displays and effective data storytelling
Kevin Hartman, the instructor, has expertise in creating meaningful data visualizations and storytelling
Provides opportunities to practice visualization creation using software tools
Focuses on preparing 'Client-Ready' visuals and communicating data insights effectively
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