Course Description
Understand the science behind the art of visualizing data in this example-rich course. You'll discover the best ways to present your data insights in Tableau, as well as which types of visualizations are most appropriate for various types of data. You'll also discover how to stay clear of pitfalls that could lead to inaccurate data presentation.
Prerequisites
Tableau Desktop I: Fundamentals & Tableau Desktop II: Intermediate is recommended but not required
Target Audience
You are an experienced Tableau user who wants to learn more about best practices for displaying information & insights in Tableau. Ideally, you have taken the Tableau Desktop I: Fundamentals & Tableau Desktop II: Intermediate courses, but these are optional. This course uses Tableau to develop & discuss visualizations but needs to include instruction on how to use Tableau.
Content Outline
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- Visual Analytics
- Visual Analytics Process
- Advantages of Visual Analysis
Memory & Processing Types
- Cognitive Load
- Focus & Guide the Viewer
- Remove Visual Distractions
- Organize Information into Chunks
- Design for Contiguity
Sensory Memory: Overview
- Preattentive Attributes
- Quantitatively-Perceived Attributes
- Categorically-Perceived Attributes
Sensory Memory: Form
- Form Attributes
- Length
- Width
- Size
- Orientation
- Shape
- Enclosure
Sensory Memory: Color
- Color Attributes
- Color Relativity
- Color Vision Deficiency
- Color Hue
- Color Intensity
- Sensory Memory: Position
- Position Attributes
- 2-D Position
- Spatial Grouping
Informing without Misleading
- Gestalt Principles
- Visual Area Assumptions
- Axis Assumptions
- Color Assumptions
- Amount of Detail
Charts for Viewing Specific Values
- Questions that Lead to Viewing Specific Values
- Chart Types for Viewing Specific Values
- Best Practices & Considerations for Viewing Specific Values
Charts for Comparing & Ranking Categories
- Questions that Lead to Comparing & Ranking Categories
- Chart Types for Comparing & Ranking Categories
- Best Practices & Considerations for Comparing & Ranking Categories
Charts for Comparing Parts to Whole
- Questions that Lead to Comparing Parts to Whole
- Chart Types for Comparing Parts to Whole
- Best Practices & Considerations for Comparing Parts to Whole
Charts for Comparing Measures
- Questions that Lead to Comparing Measures
- Chart Types for Comparing Measures
- Best Practices & Considerations for Comparing Measures
Charts for Viewing Correlation
- Questions that Lead to Viewing Correlation
- Chart Types for Viewing Correlation
- Best Practices & Considerations for Viewing Correlation
Charts for Viewing Distributions
- Questions that Lead to Viewing Distributions
- Chart Types for Viewing Distributions
- Best Practices & Considerations for Viewing Distributions
Charts for Viewing Data Over Time
- Questions that Lead to Viewing Data Over Time
- Chart Types for Viewing Data Over Time
- Best Practices & Considerations for Viewing Data Over Time
Charts for Mapping
- Questions that Lead to Mapping
- Chart Types for Mapping
- Best Practices & Considerations for Mapping
Dashboards & Stories
- Development Process for Dashboards & Stories
- Plan the Visualization
- Make the Visualization
- Test the Visualization
- Preattentive Attributes
- Quantitatively-Perceived Attributes
- Categorically-Perceived Attributes
- Form Attributes
- Length
- Width
- Size
- Orientation
- Shape
- Enclosure
- Color Attributes
- Color Relativity
- Color Vision Deficiency
- Color Hue
- Color Intensity
- Sensory Memory: Position
- Position Attributes
- 2-D Position
- Spatial Grouping
- Gestalt Principles
- Visual Area Assumptions
- Axis Assumptions
- Color Assumptions
- Amount of Detail
- Questions that Lead to Viewing Specific Values
- Chart Types for Viewing Specific Values
- Best Practices & Considerations for Viewing Specific Values
- Questions that Lead to Comparing & Ranking Categories
- Chart Types for Comparing & Ranking Categories
- Best Practices & Considerations for Comparing & Ranking Categories
- Questions that Lead to Comparing Parts to Whole
- Chart Types for Comparing Parts to Whole
- Best Practices & Considerations for Comparing Parts to Whole
- Questions that Lead to Comparing Measures
- Chart Types for Comparing Measures
- Best Practices & Considerations for Comparing Measures
- Questions that Lead to Viewing Correlation
- Chart Types for Viewing Correlation
- Best Practices & Considerations for Viewing Correlation
- Questions that Lead to Viewing Distributions
- Chart Types for Viewing Distributions
- Best Practices & Considerations for Viewing Distributions
- Questions that Lead to Viewing Data Over Time
- Chart Types for Viewing Data Over Time
- Best Practices & Considerations for Viewing Data Over Time
- Questions that Lead to Mapping
- Chart Types for Mapping
- Best Practices & Considerations for Mapping
- Development Process for Dashboards & Stories
- Plan the Visualization
- Make the Visualization
- Test the Visualization
FAQs
This course is a must for new Salesforce administrators. We recommend administrators take this training program for many advantages before starting a Salesforce deployment or when taking over an existing deployment.
You are an experienced Tableau user who wants to learn more about best practices for displaying information & insights in Tableau. Ideally, you have taken the Tableau Desktop I: Fundamentals & Tableau Desktop II: Intermediate courses, but these are optional. This course uses Tableau to develop & discuss visualizations but does not include instruction on how to use Tableau.
In this course, you will learn to:
- Design visualizations that reduce cognitive load to leverage short-term memory effectively.
- Design visualizations that align with preattentive attributes to effectively leverage sensory memory.
- Design visualizations to inform viewers without misleading them.
- Effectively use chart types to answer specific questions.
- Design dashboards & stories using visual best practices.
In case of Radiant Techlearning solutions cancel an event, 100% of the course fee will be refunded to the participant.
We provide best-in-class training programs to our clients with many services. Radiant also believe in taking feedback from its client's time to time. If you face any difficulty, you can freely discuss it with us. However, due to some reason, if your expectations are not met. We have a refund policy in which Radiant will refund your payment within seven days. To get the refund, you must inform us about your concern before the 20% completion of the training program.
To know about the fees details, you can email us at training@radianttechlearning.com with your requirement in detail containing the below information
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In the case of Corporate Training
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The learners will be enthralled as we engage them the real-world & industry Oriented projects during the training program. These projects will improve your skills & knowledge & you will gain a better experience. These real-time projects will help you a lot in your future tasks & assignments.
Radiant issues course completion certificates to all participants who complete the training program, which consists of various real-time projects, assignments, quizzes, and other tasks. Once the course is completed, you will be assigned a project that you must complete in two weeks.
Radiant Techlearning experts will assess the project on a variety of criteria. To be eligible for the verified certificate, you must have a grade point average minimum of 60%.
Only after completing these criteria would you be awarded a Radiant verified certificate & which the participants can use for their future job purpose.
Participants will be awarded grades according to the following criteria:
- 90% – 100% – AAA+
- 80% – 90% – AA+
- 70% – 80% – A+
- 60% – 70% – A
No. These training programs are helping to improve your skills & knowledge of the technology, which would allow you to land your dream job by learning them.
Our training program will maximize your ability & chances of getting a successful job. You have to select a Position according to your convenience. Your performance in the training program & interview is crucial for getting a good job.