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Data Visualization

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Data Visualization

This course is part of Data Mining Specialization

Instructor: John C. Hart

138,067 already enrolled

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5 modules

Gain insight into a topic and learn the fundamentals.

1,407 reviews

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

Prepare for a degree

Learn more

5 modules

Gain insight into a topic and learn the fundamentals.

1,407 reviews

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

Prepare for a degree

Learn more

Skills you'll gain

Tools you'll learn

Dashboard

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments¹

AI Graded see disclaimer

Taught in English

91%

of learners achieved a positive career outcome

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This course is part of the Data Mining Specialization

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There are 5 modules in this course

This course will teach you how to make more effective visualizations of data. Not only will you gain deeper insight into the data, but you will also learn how to better communicate that insight to others. You will learn new ways to display data, applying some fundamental principles of design and human cognition to choose the most effective way to display different kinds of data. This course not only teaches you how to use popular applications like Tableau to connect to data warehouses to extract and visualize relevant data, but also teaches you how Tableau works so you can use the same techniques to make effective data visualizations on your own with any visualization system.

Module details

You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.

What's included

6 readings1 assignment1 plugin

In this week's module, you will learn what data visualization is, how it's used, and how computers display information. You'll also explore different types of visualization and how humans perceive information.

What's included

15 videos2 readings1 assignment1 discussion prompt

15 videosTotal 130 minutes

Week 1 Introduction12 minutes
1.1.1. Some Books on Data Visualization3 minutes
1.1.2. Overview of Visualization11 minutes
1.2.1. 2-D Graphics11 minutes
SVG-example2 minutes
1.2.2. 2-D Drawing10 minutes
1.2.3. 3-D Graphics9 minutes
1.2.4. Photorealism10 minutes
1.2.5. Non-Photorealism6 minutes
1.3.1. The Human10 minutes
1.3.2. Memory13 minutes
1.3.3. Reasoning7 minutes
1.3.4. The Human Retina10 minutes
1.3.5. Perceiving Two Dimensions8 minutes
1.3.6. Perceiving Perspective8 minutes

2 readingsTotal 20 minutes

Week 1 Overview10 minutes
How the Programming Assignments Work10 minutes

1 assignmentTotal 30 minutes

Week 1 Quiz30 minutes

1 discussion promptTotal 60 minutes

Week 1 Discussion60 minutes

In this week's module, you will start to think about how to visualize data effectively. This will include assigning data to appropriate chart elements, using glyphs, parallel coordinates, and streamgraphs, as well as implementing principles of design and color to make your visualizations more engaging and effective.

What's included

11 videos3 readings1 peer review1 discussion prompt

11 videosTotal 85 minutes

Week 2 Introduction3 minutes
2.1.1. Data8 minutes
2.1.2. Mapping9 minutes
2.1.3. Charts9 minutes
2.2.1. Glyphs (Part 1)5 minutes
2.2.1. Glyphs (Part 2)7 minutes
2.2.2. Parallel Coordinates9 minutes
2.2.3. Stacked Graphs (Part 1)6 minutes
2.2.3. Stacked Graphs (Part 2)7 minutes
2.3.1. Tufte's Design Rules12 minutes
2.3.2. Using Color11 minutes

3 readingsTotal 30 minutes

Week 2 Overview10 minutes
Programming Assignment 1: Visualize Data Using a Chart10 minutes
Programming Assignment 1 Rubric10 minutes

1 peer reviewTotal 120 minutes

Programming Assignment 1120 minutes

1 discussion promptTotal 10 minutes

Programming Assignment 1 Help Forum10 minutes

In this week's module, you will learn how to visualize graphs that depict relationships between data items. You'll also plot data using coordinates that are not specifically provided by the data set.

What's included

8 videos3 readings1 peer review1 discussion prompt

8 videosTotal 72 minutes

Week 3 Introduction1 minute
3.1.1. Graphs and Networks8 minutes
3.1.2. Embedding Planar Graphs12 minutes
3.1.3. Graph Visualization14 minutes
3.1.4. Tree Maps9 minutes
3.2.1. Principal Component Analysis8 minutes
3.2.2. Multidimensional Scaling7 minutes
3.3.1. Packing13 minutes

3 readingsTotal 30 minutes

Week 3 Overview10 minutes
Programming Assignment 2: Visualize Network Data10 minutes
Programming Assignment 2 Rubric10 minutes

1 peer reviewTotal 120 minutes

Programming Assignment 2120 minutes

1 discussion promptTotal 10 minutes

Programming Assignment 2 Help Forum10 minutes

In this week's module, you will start to put together everything you've learned by designing your own visualization system for large datasets and dashboards. You'll create and interpret the visualization you created from your data set, and you'll also apply techniques from user-interface design to create an effective visualization system.

What's included

9 videos1 reading1 assignment1 plugin

9 videosTotal 73 minutes

Week 4 Introduction1 minute
4.1.1. Visualization Systems3 minutes
4.1.2. The Information Visualization Mantra: Part 19 minutes
4.1.2. The Information Visualization Mantra: Part 29 minutes
4.1.2. The Information Visualization Mantra: Part 36 minutes
4.1.3. Database Visualization Part: 112 minutes
4.1.3. Database Visualization Part: 28 minutes
4.1.3. Database Visualization Part: 310 minutes
4.2.1. Visualization System Design14 minutes

1 readingTotal 10 minutes

Week 4 Overview10 minutes

1 assignmentTotal 30 minutes

Week 4 Quiz30 minutes

1 pluginTotal 15 minutes

New Plugin Item15 minutes

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Instructor

Instructor ratings

(120 ratings)

John C. Hart

University of Illinois Urbana-Champaign

8 Courses152,627 learners

Offered by

University of Illinois Urbana-Champaign

Learner reviews

5 stars
65.17%
4 stars
24.44%
3 stars
5.97%
2 stars
2.34%
1 star
2.06%

Showing 3 of 1407

Reviewed on Feb 9, 2022

Shall update the supporting material of the course as most of the resources are outdated. Does not provide enough referential material about technical tools.

Reviewed on May 28, 2017

This very interesting course have sharpened my ability to read and interpret graphs in general and more importantly to pay more attention to every little details.

Reviewed on Apr 26, 2020

I enjoyed a great deal of this course. However, I felt that the course could be improved by adding in a few programming implementations of visualization. Thank you for teaching this subject!

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