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.
课程信息
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Learner Career Outcomes
33%
完成这些课程后已开始新的职业生涯
39%
通过此课程获得实实在在的工作福利
18%
加薪或升职
您将获得的技能
Data Visualization SoftwareTableau SoftwareData VirtualizationData Visualization (DataViz)
Learner Career Outcomes
33%
完成这些课程后已开始新的职业生涯
39%
通过此课程获得实实在在的工作福利
18%
加薪或升职
100% 在线
立即开始，按照自己的计划学习。
第 1 门课程（共 6 门）
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完成时间大约为15 小时
英语（English）
字幕：英语（English）, 韩语, 中文（简体）
教学大纲 - 您将从这门课程中学到什么
完成时间为 1 小时
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.
完成时间为 1 小时
6 个阅读材料, 1 个测验
6 个阅读材料
Welcome to Data Visualization!10分钟
Syllabus10分钟
About the Discussion Forums10分钟
Updating Your Profile10分钟
Social Media10分钟
Resources10分钟
1 个练习
Orientation Quiz10分钟
完成时间为 4 小时
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.
完成时间为 4 小时
15 个视频 （总计 130 分钟）, 2 个阅读材料, 1 个测验
15 个视频
1.1.1. Some Books on Data Visualization3分钟
1.1.2. Overview of Visualization11分钟
1.2.1. 2-D Graphics10分钟
SVG-example1分钟
1.2.2. 2-D Drawing9分钟
1.2.3. 3-D Graphics9分钟
1.2.4. Photorealism9分钟
1.2.5. Non-Photorealism5分钟
1.3.1. The Human10分钟
1.3.2. Memory12分钟
1.3.3. Reasoning7分钟
1.3.4. The Human Retina9分钟
1.3.5. Perceiving Two Dimensions8分钟
1.3.6. Perceiving Perspective8分钟
2 个阅读材料
Week 1 Overview10分钟
How the Programming Assignments Work10分钟
1 个练习
Week 1 Quiz20分钟
完成时间为 4 小时
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.
完成时间为 4 小时
11 个视频 （总计 85 分钟）, 3 个阅读材料, 1 个测验
11 个视频
2.1.1. Data7分钟
2.1.2. Mapping9分钟
2.1.3. Charts9分钟
2.2.1. Glyphs (Part 1)4分钟
2.2.1. Glyphs (Part 2)6分钟
2.2.2. Parallel Coordinates8分钟
2.2.3. Stacked Graphs (Part 1)5分钟
2.2.3. Stacked Graphs (Part 2)6分钟
2.3.1. Tufte's Design Rules12分钟
2.3.2. Using Color11分钟
3 个阅读材料
Week 2 Overview10分钟
Programming Assignment 1: Visualize Data Using a Chart10分钟
Programming Assignment 1 Rubric10分钟
完成时间为 4 小时
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.
完成时间为 4 小时
8 个视频 （总计 72 分钟）, 3 个阅读材料, 1 个测验
8 个视频
3.1.1. Graphs and Networks8分钟
3.1.2. Embedding Planar Graphs11分钟
3.1.3. Graph Visualization13分钟
3.1.4. Tree Maps9分钟
3.2.1. Principal Component Analysis8分钟
3.2.2. Multidimensional Scaling6分钟
3.3.1. Packing12分钟
3 个阅读材料
Week 3 Overview10分钟
Programming Assignment 2: Visualize Network Data10分钟
Programming Assignment 2 Rubric10分钟
完成时间为 2 小时
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.
完成时间为 2 小时
9 个视频 （总计 73 分钟）, 1 个阅读材料, 1 个测验
9 个视频
4.1.1. Visualization Systems3分钟
4.1.2. The Information Visualization Mantra: Part 19分钟
4.1.2. The Information Visualization Mantra: Part 29分钟
4.1.2. The Information Visualization Mantra: Part 35分钟
4.1.3. Database Visualization Part: 112分钟
4.1.3. Database Visualization Part: 28分钟
4.1.3. Database Visualization Part: 39分钟
4.2.1. Visualization System Design14分钟
1 个阅读材料
Week 4 Overview10分钟
1 个练习
Week 4 Quiz16分钟
4.5
201 条评论
来自数据可视化的热门评论
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.
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.
讲师
John C. Hart
Professor of Computer ScienceDepartment of Computer Science
立即开始攻读硕士学位
此 课程 隶属于 伊利诺伊大学香槟分校 提供的 100% 在线 Master in Computer Science。如果您被录取参加全部课程，您的课程将计入您的学位学习进程。
关于 伊利诺伊大学香槟分校
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.
关于 数据挖掘 专项课程
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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