Tableau for Data Visualization: Exploring Visualizations & Data Formats

Tableau    |    Beginner
  • 14 videos | 1h 29m 42s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 90 users Rating 4.5 of 90 users (90)
Tableau not only has a variety of tools to visualize data, but it also allows you to redefine the fields in your data to convey rich meaning. In this course, you'll explore how multiple dimensions of the underlying data can be portrayed using shapes, colors, and labels. You'll learn to build a wide variety of charts, such as pie charts, treemaps, and many more, to convey various information types. You'll also work with different techniques, such as hierarchical, combined, and calculated fields, to arrange the fields in the underlying dataset into hierarchies and groups, portraying relationships and facilitating data drill-downs for your users. Lastly, you'll learn how you can generate sets from combined data, so this data can be analyzed with the context of the set, as well as outside it.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Enrich your visualizations by conveying additional information using text
    Convey information from multiple fields in your dataset using a variety of markers
    Portray different characteristics of your data by using a variety of charts available in tableau
    Plot the changes in your data over time by using the pages feature
    Enable users to drill down in your visualizations by arranging related fields in a hierarchy
    Recognize the different ways in which hierarchy definitions could lead to incorrect visualizations
  • Analyze your data at a higher level and drill down to a lower level based on a date field
    Gather together related elements in your visualizations using groups
    Create a table which analyzes sales data along 3 different dimensions
    Flatten a multi-dimensional table using a combined field
    Define a field in your dataset which is based on a calculation performed on an existing field
    Combine related data points into a set to analyze data within and outside the set
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 29s
  • 6m 28s
    To find out how to make your visualizations more interesting by adding text. FREE ACCESS
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    3.  Conveying Multiple Values
    9m 37s
    Find out how to convey information from multiple fields in your dataset using a variety of markers. FREE ACCESS
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    4.  Using Different Charts to Analyze Data
    8m 28s
    In this video, you will learn how to use different types of charts to show different aspects of your data in Tableau. FREE ACCESS
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    5.  Using the Pages Feature
    8m 57s
    To plot changes in data over time, use the Pages feature. FREE ACCESS
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    6.  Defining Hierarchies in Data
    9m 44s
    Learn how to enable users to drill down in your visualizations by arranging related fields in a hierarchy. FREE ACCESS
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    7.  Investigating Incorrect Hierarchies
    8m 39s
    After completing this video, you will be able to recognize the different ways in which incorrect hierarchy definitions could lead to visualizations. FREE ACCESS
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    8.  Working with Implicit Hierarchies
    4m 35s
    During this video, you will learn how to analyze your data at a higher level and drill down to a lower level based on a date field. FREE ACCESS
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    9.  Creating a Custom Group
    4m 34s
    In this video, learn how to group together related elements in your visualizations. FREE ACCESS
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    10.  Analyzing Multi-dimensional Data
    8m 21s
    During this video, you will learn how to create a table which analyzes sales data along three different dimensions. FREE ACCESS
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    11.  Creating a Combined Field
    4m 22s
    In this video, learn how to flatten a multi-dimensional table using a combined field. FREE ACCESS
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    12.  Defining a Calculated Field
    5m 32s
    In this video, learn how to create a new field in your dataset which is based on a calculation performed on an existing field. FREE ACCESS
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    13.  Creating a Set
    6m 24s
    During this video, you will learn how to combine related data points into a set, and how to analyze data within and outside the set. FREE ACCESS
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    14.  Course Summary
    1m 32s

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