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: University of Illinois at Urbana-Champaign
Преподаватели: John C. Hart, Professor of Computer Science
Department of Computer Science
| Основные сведения | Курс 1 из 6 — Data Mining Specialization |
| Язык | English, Субтитры: Korean |
| 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 материала для самостоятельного изучения
- Leitura: Welcome to Data Visualization!
- Leitura: Syllabus
- Leitura: About the Discussion Forums
- Leitura: Updating Your Profile
- Leitura: Social Media
- Leitura: 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 материала для самостоятельного изучения
- Leitura: Week 1 Overview
- Leitura: 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
- Prompt de discussão: 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 материала для самостоятельного изучения
- Leitura: Week 2 Overview
- 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
- Leitura: Programming Assignment 1: Visualize Data Using a Chart
- Leitura: Programming Assignment 1 Rubric
- Prompt de discussão: 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 материала для самостоятельного изучения
- Leitura: Week 3 Overview
- 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
- Leitura: Programming Assignment 2: Visualize Network Data
- Leitura: Programming Assignment 2 Rubric
- Prompt de discussão: 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
- Leitura: Week 4 Overview
- 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
Trabalho
Cada curso é como um livro didático interativo, com vídeos pré-gravados, testes e projetos.
Ajuda dos seus colegas
Conecte-se com milhares de outros aprendizes, debata ideias, discuta sobre os materiais do curso e obtenha ajuda para dominar conceitos.
Certificados
Obtenha reconhecimento oficial pelo seu trabalho e compartilhe seu sucesso com amigos, colegas e empregadores.
Авторы
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.
Стоимость
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| Получить итоговую оценку | Доступен |
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Рейтинги и отзывы
The lectures introduces various ways of visualizing data.
There are fewer details on Tableau software usage and hand-on network graphing tutorial, students will have to search for more knowledge in these parts during the class.
I got a new type of understanding and importance of Data visualization
Very easy to understand presentation on visualization.
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Maybe more practical skills.