Become a Data Visualization Specialist: Concepts

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Free Online Course: Become a Data Visualization Specialist: Concepts provided by LinkedIn Learning is a comprehensive online course. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Become a Data Visualization Specialist: Concepts is taught by Doug Rose, Bill Shander, Nigel French, Amy Balliett and Matt Francis.

Overview
  • Data visualization is ultimately the make-or-break moment for any data science operation or business analytics project. Develop a solid foundation for how to think about the visual interpretation and communication of data and data insights.

    • Learn how to communicate the story that data insights represent.
    • Master data visualization tools and techniques.
    • Discover how to select the right graphic for the right context.

Syllabus
  • Courses under this program:
    Course 1: Learning Data Science: Tell Stories With Data
    -Learn how to ensure your data science stories engage your stakeholders and drives results.

    Course 2: Data Visualization: Storytelling
    -Learn the keys to telling a story with data from data visualization expert Bill Shander.

    Course 3: Designing an Infographic
    -Learn how to plan and design an infographic.

    Course 4: Learning Data Visualization
    -Communicate complex ideas quickly and thoroughly with data visualization. Turn information into artwork and intrigue your audience.

    Course 5: Data Visualization: Best Practices
    -Learn how to build accurate, compelling data visualizations, as well as charts and graphs that look great and stand up to analysis.

    Course 6: Data Visualization for Data Analysis and Analytics
    -Start thinking more clearly and strategically about data visualization. Learn how to leverage best practices in visualization and design to communicate data to any audience.

    Course 7: Data Visualization Tips and Tricks
    -Do data viz the right way every time. Get data visualization tips to choose the right visualization, chart relationships, visualize data distributions, create maps, and more.