About this Course
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Approx. 15 hours to complete


Subtitles: English, Korean

Skills you will gain

Data Visualization SoftwareTableau SoftwareData VirtualizationData Visualization (DataViz)

Course 1 of 1 in the

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 15 hours to complete


Subtitles: English, Korean

Syllabus - What you will learn from this course

1 hour to complete

Course Orientation

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.

6 readings, 1 quiz
6 readings
Welcome to Data Visualization!10m
About the Discussion Forums10m
Updating Your Profile10m
Social Media10m
1 practice exercise
Orientation Quiz10m
4 hours to complete

Week 1: The Computer and the Human

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.

15 videos (Total 130 min), 2 readings, 1 quiz
15 videos
1.2.1. 2-D Graphics10m
1.2.2. 2-D Drawing9m
1.2.3. 3-D Graphics9m
1.2.4. Photorealism9m
1.2.5. Non-Photorealism5m
1.3.1. The Human10m
1.3.2. Memory12m
1.3.3. Reasoning7m
1.3.4. The Human Retina9m
1.3.5. Perceiving Two Dimensions8m
1.3.6. Perceiving Perspective8m
2 readings
Week 1 Overview10m
How the Programming Assignments Work10m
1 practice exercise
Week 1 Quiz20m
4 hours to complete

Week 2: Visualization of Numerical Data

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.

11 videos (Total 85 min), 3 readings, 1 quiz
11 videos
2.1.3. Charts9m
2.2.1. Glyphs (Part 1)4m
2.2.1. Glyphs (Part 2)6m
2.2.2. Parallel Coordinates8m
2.2.3. Stacked Graphs (Part 1)5m
2.2.3. Stacked Graphs (Part 2)6m
2.3.1. Tufte's Design Rules12m
2.3.2. Using Color11m
3 readings
Week 2 Overview10m
Programming Assignment 1: Visualize Data Using a Chart10m
Programming Assignment 1 Rubric10m
4 hours to complete

Week 3: Visualization of Non-Numerical Data

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.

8 videos (Total 72 min), 3 readings, 1 quiz
8 videos
3.1.3. Graph Visualization13m
3.1.4. Tree Maps9m
3.2.1. Principal Component Analysis8m
3.2.2. Multidimensional Scaling6m
3.3.1. Packing12m
3 readings
Week 3 Overview10m
Programming Assignment 2: Visualize Network Data10m
Programming Assignment 2 Rubric10m
2 hours to complete

Week 4: The Visualization Dashboard

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.

9 videos (Total 73 min), 1 reading, 1 quiz
9 videos
4.1.2. The Information Visualization Mantra: Part 29m
4.1.2. The Information Visualization Mantra: Part 35m
4.1.3. Database Visualization Part: 112m
4.1.3. Database Visualization Part: 28m
4.1.3. Database Visualization Part: 39m
4.2.1. Visualization System Design14m
1 reading
Week 4 Overview10m
1 practice exercise
Week 4 Quiz16m
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Top reviews from Data Visualization

By MKApr 6th 2018

Good course, very well structured and with interesting assignments. Some (especially first) lessons are more of a general culture but most are very helpful and allow to learn a lot of things.

By JMJun 4th 2016

I found the class to be very informative. The assignments on creating charts and graphs for large data sets were practical and helped me understand the concepts taught in the course.



John C. Hart

Professor of Computer Science
Department of Computer Science

Start working towards your Master's degree

This course is part of the 100% online Master in Computer Science from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

About University of Illinois at Urbana-Champaign

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs. ...

About the Data Mining Specialization

The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization....
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  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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