University of California, Irvine
Data Visualization Best Practices
University of California, Irvine

Data Visualization Best Practices

This course is part of Use Tableau for Your Data Science Workflow Specialization

Taught in English

Some content may not be translated

Julie Pai
Majed Al-Ghandour

Instructors: Julie Pai

4,206 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

3.9

(14 reviews)

8 hours (approximately)
Flexible schedule
Learn at your own pace

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Shareable certificate

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.9

(14 reviews)

8 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Use Tableau for Your Data Science Workflow Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

Visualization is a crucial skill for data analysts across all disciplines. Viewing data graphically often provides greater intuition than by using statistics or mathematics alone. In this module, we’ll explore the fundamentals of visualization and discuss how visualizations can achieve better insight into data as well as effectively communicate results and conclusions.

What's included

1 video5 readings1 quiz1 discussion prompt

To create effective visuals, analysts must understand and be able to explain why specific graphical elements must be included, eliminated, or modified. In this module, we’ll investigate why certain questions are best answered by specific visual cue patterns, discuss which psychological perception theories should be considered during the construction of data visualizations, and cover the universal framework for representing visual data, the grammar of graphics.

What's included

1 video3 readings1 quiz1 discussion prompt

Univariate visualization methods apply the grammar of graphics to the representation of a dataset’s fundamental properties and structures in terms of single variable mappings to visual encodings. In this module, we’ll explore specifics for how to view the data and what to visualize and discuss ​​what mapping of data is best suited for highlighting and extracting insights from the data.

What's included

1 video3 readings1 quiz1 discussion prompt

Instead of reinventing the wheel with every visualization, analysts use several common chart types so there is no ambiguity about the decoding and interpretation of the data. In this module, we'll explore some standard tools and techniques that are used to prepare a fully crafted set of visualizations for the purpose of storytelling. Before completing this module, you will use Tableau to conduct a univariate analysis to sample data, compare dimensions vs. measures, and practice linking visualizations.

What's included

1 video4 readings1 quiz1 peer review

Instructors

Julie Pai
University of California, Irvine
8 Courses20,037 learners

Offered by

Recommended if you're interested in Data Analysis

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