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.
数据挖掘 专项课程伊利诺伊大学香槟分校课程信息
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100% 在线
立即开始，按照自己的计划学习。
第 1 门课程（共 6 门）
完成时间大约为15 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
您将获得的技能
- Data Visualization Software
- Tableau Software
- Data Virtualization
- Data Visualization (DataViz)
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 1 门课程（共 6 门）
完成时间大约为15 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
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.
立即开始攻读硕士学位
此 课程 与 伊利诺伊大学香槟分校 提供的 100% 在线 Master in Computer Science 相关。它将为您提供主题、材料和授课教师的预览，以便您确定完整在线学位课程是否适合您。
授课大纲 - 您将从这门课程中学到什么
完成时间为 2 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 2 小时
6 个阅读材料
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
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
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
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
审阅
- 5 stars64.68%
- 4 stars24.74%
- 3 stars6.24%
- 2 stars2.46%
- 1 star1.85%
来自数据可视化的热门评论
由 SR 提供Apr 14, 2020
It was a very enriching experience. Coursera is such a nice platform for learners. Very good lectures. I am thankful for the team and the Instructor.
由 SM 提供Dec 14, 2016
One of the excellent courses I have ever studied. Professor style of teaching is very soft and simple, point to point and very clear. I have given 100 out 100 marks.
由 KA 提供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.
由 JJ 提供May 26, 2019
Really interesting. Even I have learned some visualization before, I still learned a lot from this class! Like network visualization.
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.
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