Data Visualization

Data Visualization

This course is part of Data Mining Specialization

Instructor: John C. Hart

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136,876 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

1,404 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

96%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

1,404 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

96%

Most learners liked this course

Skills you'll gain

Tools you'll learn

Dashboard

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Assessments

3 assignments¹

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Taught in English

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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.

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 videos Total 130 minutes

Week 1 Introduction 12 minutes
1.1.1. Some Books on Data Visualization 3 minutes
1.1.2. Overview of Visualization 11 minutes
1.2.1. 2-D Graphics 11 minutes
SVG-example 2 minutes
1.2.2. 2-D Drawing 10 minutes
1.2.3. 3-D Graphics 9 minutes
1.2.4. Photorealism 10 minutes
1.2.5. Non-Photorealism 6 minutes
1.3.1. The Human 10 minutes
1.3.2. Memory 13 minutes
1.3.3. Reasoning 7 minutes
1.3.4. The Human Retina 10 minutes
1.3.5. Perceiving Two Dimensions 8 minutes
1.3.6. Perceiving Perspective 8 minutes

2 readings Total 20 minutes

Week 1 Overview 10 minutes
How the Programming Assignments Work 10 minutes

1 assignment Total 30 minutes

Week 1 Quiz 30 minutes

1 discussion prompt Total 60 minutes

Week 1 Discussion 60 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 videos Total 85 minutes

Week 2 Introduction 3 minutes
2.1.1. Data 8 minutes
2.1.2. Mapping 9 minutes
2.1.3. Charts 9 minutes
2.2.1. Glyphs (Part 1) 5 minutes
2.2.1. Glyphs (Part 2) 7 minutes
2.2.2. Parallel Coordinates 9 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 Rules 12 minutes
2.3.2. Using Color 11 minutes

3 readings Total 30 minutes

Week 2 Overview 10 minutes
Programming Assignment 1: Visualize Data Using a Chart 10 minutes
Programming Assignment 1 Rubric 10 minutes

1 peer review Total 120 minutes

Programming Assignment 1 120 minutes

1 discussion prompt Total 10 minutes

Programming Assignment 1 Help Forum 10 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 videos Total 72 minutes

Week 3 Introduction 1 minute
3.1.1. Graphs and Networks 8 minutes
3.1.2. Embedding Planar Graphs 12 minutes
3.1.3. Graph Visualization 14 minutes
3.1.4. Tree Maps 9 minutes
3.2.1. Principal Component Analysis 8 minutes
3.2.2. Multidimensional Scaling 7 minutes
3.3.1. Packing 13 minutes

3 readings Total 30 minutes

Week 3 Overview 10 minutes
Programming Assignment 2: Visualize Network Data 10 minutes
Programming Assignment 2 Rubric 10 minutes

1 peer review Total 120 minutes

Programming Assignment 2 120 minutes

1 discussion prompt Total 10 minutes

Programming Assignment 2 Help Forum 10 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 videos Total 73 minutes

Week 4 Introduction 1 minute
4.1.1. Visualization Systems 3 minutes
4.1.2. The Information Visualization Mantra: Part 1 9 minutes
4.1.2. The Information Visualization Mantra: Part 2 9 minutes
4.1.2. The Information Visualization Mantra: Part 3 6 minutes
4.1.3. Database Visualization Part: 1 12 minutes
4.1.3. Database Visualization Part: 2 8 minutes
4.1.3. Database Visualization Part: 3 10 minutes
4.2.1. Visualization System Design 14 minutes

1 reading Total 10 minutes

Week 4 Overview 10 minutes

1 assignment Total 30 minutes

Week 4 Quiz 30 minutes

1 plugin Total 15 minutes

New Plugin Item 15 minutes

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Instructor

Instructor ratings

(120 ratings)

John C. Hart

University of Illinois Urbana-Champaign

8 Courses 150,979 learners

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University of Illinois Urbana-Champaign

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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 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 Aug 9, 2022

I thought the course was presented very well and that the content was very interesting! I enjoyed the videos that were presented by the instructor and look forward to learning more in the future.

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