Dashboard Design Concepts
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.
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Course Description
Learn the Fundamentals of Dashboard Design
Dashboard Design Concepts is a comprehensive course designed for data-driven individuals who want to learn how to turn data into insights and impact the decision-making process.Learn to Design the Perfect Dashboard
You will become familiar with the fundamentals of dashboard design, including how to choose the right performance metrics, use data visualization to effectively communicate insights, and design dashboards that drive business success. Whether you are new to dashboard design or looking to improve your existing skills, this course will provide you with the knowledge and skills you need to create impactful and effective dashboards.Create Dashboards That Make an Impact
You’ll start this course by covering some of the foundations of dashboard design, including the structure and key measurements to consider when building dashboards. As you progress, you’ll explore some of the principles of visual analytics, giving you the knowledge you need to improve your dashboards through data quality and metadata. After covering dashboard taxonomies, you’ll finish the course by learning about dashboard software and how to measure the performance of the dashboards you create.For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and moreIn the following Tracks
Design in Power BI
Go To Track- 1
The Building Blocks
FreeThis course begins with introducing the fundamental concepts of dashboard design and structure. You will then learn how to define key measurements for the business performance dashboards and connect them to stakeholders who have an interest in the organization's decisions and goals.
- 2
Visual Analytics Components
In this chapter, you’ll learn about dashboard design and the principles of visual analytics. You’ll also look at ways to improve the dashboard via data quality and metadata.
Dashboard design50 xpExploratory or explanatory dashboard?100 xpPlacing the most important information100 xpDashboard-specific visualization techniques50 xpC.R.A.P design principles: organizing50 xpC.R.A.P design principles: triggering attention50 xpGestalt design principle: improving perception50 xpDos and donts in dashboard design100 xpPrinciples of visual analytics50 xpComparison and causality100 xpGraph anatomy100 xpData quality50 xpData quality check50 xpData quality dimensions100 xp - 3
Types of Dashboards
Chapter 3 introduces dashboard taxonomies. You’ll also learn how to choose the right dashboard for particular situations.
Operational dashboard50 xpOperational dashboard KPIs50 xpOperational dashboard comparison50 xpWhich operational dashboard should you use?100 xpAnalytical dashboard50 xpAnalytical dashboard components100 xpAnomaly detection50 xpStrategic dashboard50 xpStrategical dashboard components100 xpStrategic indicators50 xpTactical dashboard50 xpTactical HR dashboard100 xpLeadership role and dashboard100 xp - 4
Dashboard Success and Integration
In the final chapter, you’ll learn about dashboard software, dashboard checklist, and how to measure the dashboard's success, impact, and adoption.
Choosing dashboard tools50 xpCloud-based dashboard50 xpDrag-and-drop dashboard50 xpDashboard checklist50 xpThree constructs: dashboard, developer, and user100 xpStory-telling using inverted pyramid50 xpMeasuring dashboard success50 xpWhich success metrics are the most important?50 xpDashboard adoption50 xpDashboard integration50 xpDashboard access50 xpSharing or non-sharing100 xpCongratulations!50 xp
For Business
Training 2 or more people?
Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and moreIn the following Tracks
Design in Power BI
Go To Trackdatasets
Dashboard Design Checklistcollaborators
Olga Scrivner
See MorePresident, Scrivner Solutions Inc
Olga Scrivner is an Assistant Professor in Computer Science & Software Engineering at the Rose-Hulman Institute of Technology and an Adjunct faculty in the Online Data Science program at Indiana University. She co-founded Scrivner Solution Inc, a consulting firm that specializes in providing AI-based solutions to healthcare organizations. She also circumnavigated the earth and visited all 7 continents and in her free time she runs the martial art dojo.
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