University of Colorado Boulder

Fundamentals of Data Visualization

This course is part of Vital Skills for Data Science Specialization

Taught in English

Some content may not be translated

Danielle Szafir

Instructor: Danielle Szafir

5,724 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(23 reviews)

Intermediate level

Recommended experience

14 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

What you'll learn

  • Develop a toolkit for exploring and communicating complex data using visualization

  • Produce basic data visualizations using a chosen dataset

  • Compare methods for visualizing data and understand how these methods may guide users towards different conclusions

  • Evaluate how effectively a visualization conveys target data

Details to know

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Assessments

3 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(23 reviews)

Intermediate level

Recommended experience

14 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

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

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This course is part of the Vital Skills for Data Science 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 3 modules in this course

In this module, you will learn the foundations of visualization design. You will walk through the key components of a visualization, how we effectively represent data using channels like color, size, and position, and some ground rules for honest and effective visualization. You will also gain preliminary exposure to Altair, a Python library for rapidly generating interactive visualizations. Each week will also include either two readings or one reading and one notebook activity.

What's included

13 videos14 readings1 quiz2 discussion prompts2 ungraded labs

In this module, you will learn how to choose the right visualization for a given scenario. You will learn how to reason about the different kinds of questions people ask with visualization and, how to align your design with that task. The module will cover basics of task analysis, methods for task elicitation, and foundational knowledge of visual perception for design. Each week will also include two external readings or one reading and one notebook activity.

What's included

9 videos7 readings1 quiz1 discussion prompt

In this module, you will learn how to assess the effectiveness of your visualization. You will learn both qualitative and quantitative approaches for evaluating visualizations as well as how to isolate key elements for assessment and iteration. The module will cover basics of insight-based evaluation, interview studies, and experimental design and analysis. Each week will also include two external readings or one reading and one notebook activity.

What's included

7 videos7 readings1 quiz1 discussion prompt

Instructor

Instructor ratings
4.6 (8 ratings)
Danielle Szafir
University of Colorado Boulder
1 Course5,724 learners

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Recommended if you're interested in Data Analysis

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4.7

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5

Reviewed on Dec 16, 2023

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