Data Visualization

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Description

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About this course: Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.

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Didn't find what you were looking for? See also: Data Mining, Visualization, Computer Science, C/C++, and Hour of Code.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.

Created by:  University of Illinois at Urbana-Champaign
  • Taught by:  John C. Hart, Professor of Computer Science

    Department of Computer Science
Basic Info Course 1 of 6 in the Data Mining Specialization Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.4 stars Average User Rating 4.4See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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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.

Syllabus


WEEK 1


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 expand


  1. Reading: Welcome to Data Visualization!
  2. Reading: Syllabus
  3. Reading: About the Discussion Forums
  4. Reading: Updating Your Profile
  5. Reading: Social Media
  6. Reading: Resources

Graded: Orientation Quiz

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, 2 readings expand


  1. Reading: Week 1 Overview
  2. Video: Week 1 Introduction
  3. Reading: How the Programming Assignments Work
  4. Video: 1.1.1. Some Books on Data Visualization
  5. Video: 1.1.2. Overview of Visualization
  6. Video: 1.2.1. 2-D Graphics
  7. Video: SVG-example
  8. Video: 1.2.2. 2-D Drawing
  9. Video: 1.2.3. 3-D Graphics
  10. Video: 1.2.4. Photorealism
  11. Video: 1.2.5. Non-Photorealism
  12. Video: 1.3.1. The Human
  13. Video: 1.3.2. Memory
  14. Video: 1.3.3. Reasoning
  15. Video: 1.3.4. The Human Retina
  16. Video: 1.3.5. Perceiving Two Dimensions
  17. Video: 1.3.6. Perceiving Perspective
  18. Discussion Prompt: Week 1 Discussion

Graded: Week 1 Quiz

WEEK 2


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, 3 readings expand


  1. Reading: Week 2 Overview
  2. Video: Week 2 Introduction
  3. Video: 2.1.1. Data
  4. Video: 2.1.2. Mapping
  5. Video: 2.1.3. Charts
  6. Video: 2.2.1. Glyphs (Part 1)
  7. Video: 2.2.1. Glyphs (Part 2)
  8. Video: 2.2.2. Parallel Coordinates
  9. Video: 2.2.3. Stacked Graphs (Part 1)
  10. Video: 2.2.3. Stacked Graphs (Part 2)
  11. Video: 2.3.1. Tufte's Design Rules
  12. Video: 2.3.2. Using Color
  13. Reading: Programming Assignment 1: Visualize Data Using a Chart
  14. Reading: Programming Assignment 1 Rubric
  15. Discussion Prompt: Programming Assignment 1 Help Forum

Graded: Programming Assignment 1

WEEK 3


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, 3 readings expand


  1. Reading: Week 3 Overview
  2. Video: Week 3 Introduction
  3. Video: 3.1.1. Graphs and Networks
  4. Video: 3.1.2. Embedding Planar Graphs
  5. Video: 3.1.3. Graph Visualization
  6. Video: 3.1.4. Tree Maps
  7. Video: 3.2.1. Principal Component Analysis
  8. Video: 3.2.2. Multidimensional Scaling
  9. Video: 3.3.1. Packing
  10. Reading: Programming Assignment 2: Visualize Network Data
  11. Reading: Programming Assignment 2 Rubric
  12. Discussion Prompt: Programming Assignment 2 Help Forum

Graded: Programming Assignment 2

WEEK 4


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, 1 reading expand


  1. Reading: Week 4 Overview
  2. Video: Week 4 Introduction
  3. Video: 4.1.1. Visualization Systems
  4. Video: 4.1.2. The Information Visualization Mantra: Part 1
  5. Video: 4.1.2. The Information Visualization Mantra: Part 2
  6. Video: 4.1.2. The Information Visualization Mantra: Part 3
  7. Video: 4.1.3. Database Visualization Part: 1
  8. Video: 4.1.3. Database Visualization Part: 2
  9. Video: 4.1.3. Database Visualization Part: 3
  10. Video: 4.2.1. Visualization System Design

Graded: Week 4 Quiz
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