Об этом курсе: 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.
Автор: Иллинойсский университет в Урбане-Шампейне
Преподаватели: John C. Hart, Professor of Computer Science
Department of Computer Science
| Основные сведения | Course 1 of 6 in the Data Mining Specialization |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 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 материалов для самостоятельного изучения
- Reading: Welcome to Data Visualization!
- Reading: Syllabus
- Reading: About the Discussion Forums
- Reading: Updating Your Profile
- Reading: Social Media
- Reading: Resources
Оцениваемый: 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 видео, 2 материалов для самостоятельного изучения
- Reading: Week 1 Overview
- Видео: Week 1 Introduction
- Reading: How the Programming Assignments Work
- Видео: 1.1.1. Some Books on Data Visualization
- Видео: 1.1.2. Overview of Visualization
- Видео: 1.2.1. 2-D Graphics
- Видео: SVG-example
- Видео: 1.2.2. 2-D Drawing
- Видео: 1.2.3. 3-D Graphics
- Видео: 1.2.4. Photorealism
- Видео: 1.2.5. Non-Photorealism
- Видео: 1.3.1. The Human
- Видео: 1.3.2. Memory
- Видео: 1.3.3. Reasoning
- Видео: 1.3.4. The Human Retina
- Видео: 1.3.5. Perceiving Two Dimensions
- Видео: 1.3.6. Perceiving Perspective
- Discussion Prompt: Week 1 Discussion
Оцениваемый: Week 1 Quiz
НЕДЕЛЯ 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 видео, 3 материалов для самостоятельного изучения
- Reading: Week 2 Overview
- Видео: Week 2 Introduction
- Видео: 2.1.1. Data
- Видео: 2.1.2. Mapping
- Видео: 2.1.3. Charts
- Видео: 2.2.1. Glyphs (Part 1)
- Видео: 2.2.1. Glyphs (Part 2)
- Видео: 2.2.2. Parallel Coordinates
- Видео: 2.2.3. Stacked Graphs (Part 1)
- Видео: 2.2.3. Stacked Graphs (Part 2)
- Видео: 2.3.1. Tufte's Design Rules
- Видео: 2.3.2. Using Color
- Reading: Programming Assignment 1: Visualize Data Using a Chart
- Reading: Programming Assignment 1 Rubric
- Discussion Prompt: Programming Assignment 1 Help Forum
Оцениваемый: Programming Assignment 1
НЕДЕЛЯ 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 видео, 3 материалов для самостоятельного изучения
- Reading: Week 3 Overview
- Видео: Week 3 Introduction
- Видео: 3.1.1. Graphs and Networks
- Видео: 3.1.2. Embedding Planar Graphs
- Видео: 3.1.3. Graph Visualization
- Видео: 3.1.4. Tree Maps
- Видео: 3.2.1. Principal Component Analysis
- Видео: 3.2.2. Multidimensional Scaling
- Видео: 3.3.1. Packing
- Reading: Programming Assignment 2: Visualize Network Data
- Reading: Programming Assignment 2 Rubric
- Discussion Prompt: Programming Assignment 2 Help Forum
Оцениваемый: Programming Assignment 2
НЕДЕЛЯ 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 видео, 1 материал для самостоятельного изучения
- Reading: Week 4 Overview
- Видео: Week 4 Introduction
- Видео: 4.1.1. Visualization Systems
- Видео: 4.1.2. The Information Visualization Mantra: Part 1
- Видео: 4.1.2. The Information Visualization Mantra: Part 2
- Видео: 4.1.2. The Information Visualization Mantra: Part 3
- Видео: 4.1.3. Database Visualization Part: 1
- Видео: 4.1.3. Database Visualization Part: 2
- Видео: 4.1.3. Database Visualization Part: 3
- Видео: 4.2.1. Visualization System Design
Оцениваемый: Week 4 Quiz
Часто задаваемые вопросы
Как это работает
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Авторы
Иллинойсский университет в Урбане-Шампейне
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.
Стоимость
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| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
Рейтинги и отзывы
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.
Excellent course. Very interesting.
It is a wonderful course, I really learned a lot, even to use R. I just modified the peer review to something tha give us more feedback, it could be from peers too but with open questions that allow comment the work the others and get better feedback
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The course looks at all aspects of Data visualization and how to make a visualization that is both informative and easy to interpret