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    Healthcare Data Visualization and Decision Support

    Overview

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    Course

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    Healthcare Data Visualization and Decision Support

    Transform healthcare data into clear, interactive dashboards for better clinical and operational decisions.

    Flexible Schedule

    Intermediate Level

    Mentor Support

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    Estimated Time

    4 weeks
    2-3 hours/week
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    Fee

    $299

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    This course can be taken on its own or as part of a full program. This course is included in the Introduction to Healthcare Data Analytics, which is designed to help you build deeper expertise and earn the complete credential.

    As healthcare data volumes grow and analytics roles expand, the ability to turn data into clear, actionable insights is now a critical skill.

    In this course, youll gain practical skills to design, build, and communicate effective healthcare visualizations that support clinical, operational, and strategic decision-making.

    Youll develop a strong foundation in visualization principles, including chart selection, color theory, layout, and accessibility, and apply these skills using industry-standard visualization tools, such as Google Looker Studio. The course moves from creating professional charts to building interactive dashboards for clinical quality, hospital operations, and population health. Youll learn advanced techniques, such as geospatial mapping, network views, and visual storytelling, to present insights to clinicians, administrators, and executives.

    Through activities, role-based scenarios, labs, and projects, youll practice real-world decision-making and build job-ready dashboards and reports. By the end of the course, youll be able to confidently design and present healthcare visualizations that turn complex data into clear, actionable insights.

    This course comprises four purposely designed modules that take you on a carefully defined learning path.

    It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 2-3 hours per week, you will complete the course in 4 weeks. However, as long as the course is completed before the end date, you can work at your own pace.

    The materials for each module will become available when you start the particular module. Methods of learning and assessment will include videos, reading material, online exams questions, and a final peer review assignment.

    Once you have successfully completed the course, you will earn your Certificate of Completion.

    By the end of this course, you will be able to:

    • Understand business metrics and clinical informatics fundamentals.
    • Analyze and interpret healthcare data effectively.
    • Build and design interactive dashboards.
    • Apply data literacy, mapping, and presentation techniques.
    • Communicate insights through data storytelling and visualization.
    • Use data visualization tools, including Looker.
    • Work with geospatial and spatial data analysis.
    • Create scatter plots and statistical visualizations.
    • Apply concepts in healthcare, health informatics, and health technology.
    • Communicate technical insights clearly and effectively.

    • Healthcare, data, and IT professionals transitioning into healthcare analytics
    • Clinical and public health professionals building data skills
    • Health informatics and EHR professionals needing analytics training
    • Biomedical and digital health professionals seeking data-driven insights

    • Basic healthcare knowledge, spreadsheet skills, introductory statistics, and HIPAA awareness.
    • Prior healthcare analytics knowledge is helpful.

    Course Outline

    Video: Course Introduction (3:24)

    Reading: Course Overview

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    Reading: How to Make the Most of This Course

    Video: Specialization Overview (4:35)

    Reading: Grading Scheme

    Video: Meet Your Instructor (6:12)

    Reading: Module Introduction and Learning Objectives

    Activity: What Shapes Your First Interpretation?

    Video: Visual Perception in Healthcare Data (4:57)

    Video: Common Visualization Mistakes in Healthcare Analytics (4:17)

    Video: Chart Types for Healthcare Data (5:42)

    Video: Selecting Healthcare Charts Using a Framework Approach (3:54)

    Reading: A Practical Guide to Selecting Charts for Healthcare Data

    Lab: Creating Your First Healthcare Charts

    Video: Color Theory for Clarity and Accessibility in Visualizations (4:32)

    Video: Design Principles for Professional Healthcare Visualizations (4:53)

    Module Summary: Foundations of Healthcare Data Visualization

    Practice Quiz: Foundations of Healthcare Data Visualization

    Graded Quiz: Foundations of Healthcare Data Visualization

    Reading: Module Introduction and Learning Objectives

    Video: Building Basic Visualizations in Dashboard Software (5:51)

    Video: Structuring Healthcare Dashboards (6:04)

    Reading: Healthcare Dashboard Development from Planning to Layout

    Activity: Designing Dashboards for Effective Decisions

    Lab: Building Your First Healthcare Dashboard

    Video: Creating Interactive Controls in Healthcare Dashboards (5:01)

    Video: Enabling Actions and Drill Down for Clinical Insights (4:08)

    Reading: Interactive Dashboard Design

    Activity: Exploring Interactive Healthcare Dashboards

    Lab: Visualizing Geospatial Healthcare Data

    Video: Creating Advanced Metrics for Healthcare Dashboards (4:14)

    Video: Dashboard Optimization and Mobile Design for Healthcare Settings (5:06)

    Activity: Making Sense of Performance Under Pressure

    Module Summary: Building Interactive Dashboards for Healthcare

    Practice Quiz: Building Interactive Dashboards for Healthcare

    Graded Quiz: Building Interactive Dashboards for Healthcare

    Reading: Module Introduction and Learning Objectives

    Video: Geospatial Mapping Techniques (4:43)

    Video: Network Diagrams and Advanced Visualizations (3:37)

    Lab: Creating Advanced Healthcare Visualizations

    Video: Effective Storytelling Techniques for Healthcare Data (4:25)

    Video: Designing Presentations and Reports for Healthcare Stakeholders (3:38)

    Reading: Healthcare Data Storytelling Principles

    Activity: Creating a Healthcare Data Story

    Video: Executive Dashboard for Healthcare Leaders (4:14)

    Video: Strategic Performance Reporting for Healthcare Leadership (3:58)

    Lab: Building a Comprehensive Healthcare Executive Dashboard

    Module Summary: Advanced Visualization and Strategic Communication

    Practice Quiz: Advanced Visualization and Strategic Communication

    Graded Quiz: Advanced Visualization and Strategic Communication

    Reading: Module Introduction and Learning Objectives

    Reading: Final Project Overview

    Project: Designing and Building an Interactive Dashboard

    Video: Course Summary (2:59)

    Course Glossary: Healthcare Data Visualization and Decision Support

    Final Exam: Healthcare Data Visualization and Decision Support

    Reading: Congratulations and Next Steps

    Reading: Team and Acknowledgments

    Why Learn with SkillUp Online?

    We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.

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    Reskilling into tech? We’ll support you.

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    Upskilling for promotion? We’ll help you.

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    Cross-skilling for your career? We’ll guide you.

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    Personalized Mentoring & Support

    1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.

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    Practical Experience

    Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

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    Best-in-Class Course Content

    Designed by the industry for the industry so you can build job-ready skills.

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    Job-Ready Skills Focus

    Competency building and global certifications employers are actively looking for.

    FAQs

    You will learn how to transform complex healthcare data into clear visuals, build dashboards, and support decisions. The focus is on healthcare data visualization, clinical insights, and presenting data in a way that is easy to understand and act upon.

    Yes, this data visualization course is beginner friendly. You should have a basic understanding of healthcare operations, spreadsheets, introductory statistics, and fundamental math concepts. You start with basic concepts and gradually move toward practical skills like healthcare dashboard design and interpreting healthcare datasets without needing prior technical knowledge.

    Yes, healthcare data visualization helps professionals quickly identify patterns, trends, and patient outcomes. It supports faster decision-making and improves the accuracy of clinical and operational actions across healthcare systems.

    Yes, you will learn how to create healthcare dashboards that are structured, clear, and decision focused. The course covers healthcare dashboard design principles and teaches how to present data effectively for real-world use.

    This course teaches how to organize and present clinical data clearly. You will learn clinical data reporting techniques that make it easier for healthcare teams to interpret insights and take informed decisions.

    Yes, you will practice with real or simulated datasets for healthcare. This helps you understand how healthcare data visualization works in real scenarios and builds confidence in handling actual data challenges.

    You will learn how to present healthcare data effectively using visual techniques and structured storytelling. This includes simplifying complex information and communicating insights clearly to both technical and non-technical audiences.

    Yes, you can learn healthcare dashboard design without coding. The course focuses on visual thinking, data interpretation, and using tools that simplify the process of creating effective dashboards.

    You can explore roles like healthcare data analyst, reporting specialist, or dashboard developer. These roles involve analyzing healthcare data, building dashboards, and supporting decision-making in hospitals and healthcare organizations.

    You can learn the basics of healthcare data visualization within 4 weeks with consistent effort. With continued practice, you can build confidence in creating dashboards and working with healthcare data in real-world scenarios.

    Healthcare Data Visualization and Decision Support
    certificate

    Type of certificate

    Certificate of Completion

    course

    About this course

    04 Modules

    10 Skills

    includes

    Includes

    Discussion Space

    22 Videos

    05 Hands-on labs

    03 Practice quizzes

    03 Graded quizzes

    01 Project

    01 Final exam

    exercises

    Exercises to explore

    Google Looker

    This course has been created by

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    Ramesh Sannareddy

    Data Engineering Subject Matter Expert

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