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Big data speaks

Learning Data Visualization

Big data speaks

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Instructor-Led Online Training

$ 124.99
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Course Overview

In this course, we’ll walk through why data visualization is so critical in today’s world of big Data. This is followed by an overview of the basic principles of data visualization, why they are important, and how they can be used to make visualizations highly effective. We’ll then walk you through some of the basics –such as how to build visualizations using best practices . You'll also learn how to identify data types and match them with the appropriate display formats. By the end of this course, you will have a strong understanding of how to begin building effective data visualizations, based on a solid understanding of successful design principles.

Course Contents

  1. Why You Should Visualize Your Data?
    • The Course Overview
    • Visualizing Is Critical to Understanding
    • Taming Big Data through Visualization
    • Utilizing Visualization Tools

  2. Learn to Create Great Visualizations
    • Introducing Visualization Best Practices
    • Designing for Visual Clarity
    • Driving User Focus
    • Working with Element Sizing
    • Employing Color Effectively

  3. Know Your Data – Create Exceptional Visualizations
    • Data Types Overview
    • Categorical Data
    • Time Series Data
    • Point (X-Y) Data
    • Geospatial Data
    • Network Data
    • Unstructured Data

  4. Making Simple Charts More Effective
    • Line Charts
    • Bar Charts
    • Scatter Plots
    • Distribution Plots
    • Dot Plots

Target Audience

This course is for data enthusiasts who would like to get started with data visualization. Basic knowledge of HTML, CSS, and JavaScript would be helpful but is not required. Some experience with database, spreadsheet, and presentation software will also prove useful but is not critical.

What you will learn from this course

  • Understand why data visualization is important
  • Know how to use data visualization with big data
  • Find out how to utilize visualization best practices
  • Discover how to identify and understand your source data
  • Get to know how to match your dataset to the appropriate visualization type
  • See how to optimize basic chart types for maximum impact

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