Data Visualization: Best Practices for Creating Visuals

Data Visualization    |    Beginner
  • 11 videos | 1h 3m 52s
  • Includes Assessment
  • Earns a Badge
Rating 4.4 of 417 users Rating 4.4 of 417 users (417)
Most organizations depend on data visualization to help drive business decisions. Using the correct charts and graphs helps communicate the right information and identify patterns and trends within your data. You'll begin this course by identifying the importance of data visualization and its application in curating data that is easy to digest, understand, and interpret. Next, you'll discover best practices for visualizing data and the significance of creating user-centered visuals. You'll then explore different presentation types such as comparison, composition, distribution, trends, and relationship, and learn how to map your charts to these categories. Finally, you'll investigate the use cases for popular charts such as line charts, pie charts, histograms, scatter plots, and others. You'll also recognize when to use specialized charts such as Gantt charts, sunburst charts, and Sankey diagrams.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Recognize the importance of data visualization in the age of big data
    List best practices for visualizing data
    Outline different presentation types and considerations before choosing a chart type for your data
    Identify use cases that require tables and bar charts
    List use cases and best practices for line charts and pie charts
  • Recognize use cases that require histograms and box plots
    Identify use cases and best practices for scatter charts and bubble charts
    Recognize use cases for specialized chart types such as gantt charts and waterfall charts
    Outline the use cases for heatmaps, funnel charts, sunburst charts, and sankey diagrams
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 31s
    In this video, you’ll learn more about your instructor and the course. In this course, you’ll learn the importance of data visualization. You'll see how visualizations help curate data into a form that is easy for your audience to digest, understand, and interpret. Next, you’ll discover best practices for building charts and visualizations. You’ll also learn the different kinds of presentation types that exist. FREE ACCESS
  • 9m 14s
    In this video, you’ll learn that for the data to be useful, you should be able to interpret this data. Interpreting data means you need to understand what the data represents, know whether you can rely on this data, and be able to extract what the data is telling you. This is where data visualization comes in. Data visualization allows you to represent data in a manner that is interpretable. FREE ACCESS
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    3.  Best Practices for Data Visualization
    8m 33s
    In this video, you’ll learn best practices for creating data visualizations for your users. The first is you need to know your target audience. This will help you focus on the decision your target audience needs to be able to make after they’ve viewed your data. Once you’ve identified your audience, make sure your data is clean and there are no inaccuracies. Next, you’ll need to ensure your data isn’t skewed. FREE ACCESS
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    4.  Chart and Presentation Types for Visualizing Data
    5m 15s
    In this video, you’ll learn how to choose the right type of visualization for your needs. You’ll learn there are five categories of presentation types. These include comparison, composition, distribution, trends, and relationships. You’ll learn more about these common types here, and you’ll be presented with examples of each of these.   FREE ACCESS
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    5.  Use Cases: Tables and Bar Charts
    8m 50s
    In this video, you’ll learn about tables. You’ll discover a table is a type of visualization. Tables can represent raw. But they can also be made to pivot on a column to represent aggregations. You’ll see an example of a pivot table onscreen. Next, you’ll move on to column charts. You’ll see an example on the screen. FREE ACCESS
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    6.  Use Cases and Best Practices: Line and Pie Charts
    6m 25s
    In this video, you’ll learn about line charts. You’ll see the line chart can represent just one quantity or several quantities. Typically, the line chart represents trends or movements of a value over time. You’ll see an example of a line chart on the screen. Next, you’ll look at an example of pie charts. Pie charts are very useful to show how individual proportions make up a whole. FREE ACCESS
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    7.  Use Cases: Histograms and Box Plots
    4m 56s
    In this video, you’ll learn about histograms and box plots. You’ll learn that if you're interested in tracking the values of one variable and the shape of the data and its distribution rather than other characteristics of data, the histogram is the best choice. You’ll see an example of this onscreen. Next, you’ll learn about box plots. The box plot displays summary statistics for data. You’ll see an example of this onscreen. FREE ACCESS
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    8.  Use Cases: Scatter Charts and Bubble Charts
    5m 11s
    In this video, you’ll learn about scatter charts. You’ll discover the scatter chart is best used when both your variables are continuous in nature. However, it is possible to have categorical variables along at least one axis. You’ll see an example of a scatter plot on the screen. Then, you’ll learn about bubble charts. Bubble charts are different from scatter charts in that you can represent another variable using the size of the bubbles. FREE ACCESS
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    9.  Use Cases: Gantt Charts and Waterfall Charts
    4m 46s
    In this video, you’ll learn about Gantt charts and waterfall charts. You’ll learn a Gantt chart can be used to track projects. It keeps track of details such as project scheduling, managing resources, and deadlines. You’ll see an example of this onscreen. Next, you’ll learn more about waterfall charts. Waterfall charts are used to reveal the composition of a numeric value or how different numbers accumulate together or aggregate together to get the final result. FREE ACCESS
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    10.  Heatmaps, Funnel, Sunburst, and Sankey Charts
    6m 20s
    In this video, you’ll learn about heatmaps, funnel, sunburst, and Sankey charts. You’ll learn the funnel chart represents a series of steps that must be completed before the final outcome. Next, you’ll learn about the heatmap, charts used to express the relationship between pairs of variables. Then, you’ll discover sunburst charts are used to represent hierarchical information. Finally, you’ll look at Sankey diagrams. These are used to visualize how data flows between nodes. FREE ACCESS
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    11.  Course Summary
    1m 52s
    In this video, you’ll summarize the course. You’ve learned the importance of data visualization. You discovered data visualization allows us to identify trends and extract insights from our data that help drive business decisions. You learned best practices for charts and graphs. You also learned different presentation types for data; comparisons, compositions, distributions, trends, and relationships. Finally, you learned about popular charts, such as bar charts, pie charts, line charts, scatter charts, and box plots. FREE ACCESS

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