As you move beyond basic charts and graphs, a world of sophisticated visualization techniques opens up exciting new ways to illuminate your data. From showing performance distributions to illustrating intricate data flows, advanced visualization techniques help you create visualizations that stick with your audience.

In this course, you will use advanced visualizations to represent complex data relationships. You'll begin with visualizations that capture business performance, such as dot plots. Yet large or densely clustered datasets can make for congested dot plots, often obscuring key findings. To address this challenge, you'll review how applying sparklines and jittering techniques can help enhance and clarify your message.

You will also build bullet charts, lollipop charts, word clouds, and slope graphs to represent data trends. Beyond developing the technical skills to build these charts, you'll analyze the most appropriate use of each one depending on the visualization's tone along with your business needs and audience. You'll decide when to use pie charts and Gantt charts, considering when alternative visualizations better serve your data and needs.

System requirements:

To complete this course, you will need to install Tableau Desktop Public on your local device. While this software is free, you'll need to create an online Tableau Public account to download the Tableau Desktop Public package. You‘ll also need administrative privileges to install this software on your device.

Refer to Tableau's System Requirements for up-to-date information on supported devices to check your device compatibility.

You are required to have completed the following courses or have equivalent experience before taking this course:

  • Exploring Data Visualization Techniques
  • Creating Professional Data Visualizations
  • Creating Map-Based Visualizations
 

How It Works

Course Length
2 weeks

Effort
5 to 7 hours of study per week

Format
100% online, instructor-led
  • Business leaders
  • Marketing managers
  • Brand and product managers
  • Accountants and auditors
  • Digital marketers
  • Data scientists and analysts
  • Consultants
  • Entrepreneurs
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