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Data Visualization for Storytelling

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Pratheerth Padman

1:13:33

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  • 1. Course Overview.mp4
    01:57
  • 1. Course and Module Introduction.mp4
    03:12
  • 2. Introduction to Data Visualization.mp4
    02:30
  • 3. Key Principles and Application of Data Visualization.mp4
    04:42
  • 4. Pros and Cons of Popular Visualization Techniques.mp4
    04:20
  • 5. Understanding Your Data and Selecting the Right Visualization.mp4
    03:23
  • 6. Module Summary.mp4
    01:10
  • 1. Module Overview.mp4
    01:13
  • 2. Importance of Design in Visualizations.mp4
    02:45
  • 3. Key Elements of Visual Design.mp4
    06:22
  • 4. Visual Hierarchy in Design.mp4
    03:28
  • 5. Designing for Accessibility.mp4
    03:13
  • 6. Module Summary.mp4
    01:25
  • 1. Module Overview.mp4
    01:26
  • 2. Introduction to Interactive Visualizations.mp4
    01:36
  • 3. Demo - Building Interactive Visualizations.mp4
    03:31
  • 4. Storytelling with Data.mp4
    02:57
  • 5. Demo - Enhancing Storytelling with Interactive Visualizations.mp4
    04:03
  • 6. Designing for User Interactions.mp4
    01:49
  • 7. Module Summary.mp4
    01:36
  • 1. Module Overview.mp4
    01:12
  • 2. Introduction to Advanced Data Visualization Techniques.mp4
    02:27
  • 3. Analyzing Effectiveness and Applicability.mp4
    02:27
  • 4. Demo - Real-world Case Study - Visualizing Trends in Healthcare Data (Part 1).mp4
    03:20
  • 5. Demo - Real-world Case Study - Visualizing Trends in Healthcare Data (Part 2).mp4
    06:16
  • 6. Module Summary.mp4
    01:13
  • Description


    This course guides you to craft compelling visual narratives from complex datasets. Learn principles, advanced techniques, and apply them to make insightful, data-driven decisions.

    What You'll Learn?


      Rising diabetes cases worldwide pose a significant healthcare challenge. Early detection is key to mitigating severe health outcomes, but extracting meaningful insights from the volume and complexity of healthcare data can be daunting. In this course, Data Visualization for Storytelling, you'll gain the ability to transform complex health data into compelling visual narratives that can inform policy decisions and support early diabetes detection strategies. First, you'll explore the foundational principles of data visualization, learning how to choose the right visualization based on the characteristics of the data. Next, you'll discover how to design effective, visually appealing data visualizations that highlight key insights and patterns in the data. Finally, you'll learn how to incorporate interactivity into your data visualizations, use advanced visualization techniques, and apply these skills to a real-world case study: the Diabetes Prediction Dataset. When you're finished with this course, you'll have the skills and knowledge of data visualization needed to transform complex datasets into clear, insightful visual narratives, and be well-equipped to use these skills in various fields.

    More details


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    Pratheerth Padman
    Pratheerth Padman
    Instructor's Courses
    Pratheerth is a Data Scientist who has entered the field after an eclectic mix of educational and work experiences. He has a Bachelor's in Engineering in Mechatronics from India, Masters in Engineering Management from Australia and then a couple of years of work experience as a Production Engineer in the Middle East. Then when the A.I bug bit him, he dropped everything to dedicate his life to the field. He is currently working on mentoring, course creation and freelancing as a Data Scientist.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 26
    • duration 1:13:33
    • level preliminary
    • English subtitles has
    • Release Date 2023/10/04