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Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘:理论与算法

Unraveling the mysteries of Data Mining and Big Data, this course is a must-have for any budding Data Scientist. 最有趣的理论+最有用的算法=不得不学的数据科学。

Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘:理论与算法

There is one session available:

13,316 already enrolled! After a course session ends, it will be archived.
Starts Jul 29
Ends Dec 31
Estimated 14 weeks
3–5 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

About this course

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本课程完整覆盖数据挖掘领域的各项核心技术,包括数据预处理、分类、聚类、回归、关联、推荐、集成学习、进化计算等。强调在知识的广度、深度和趣味性之间寻找最佳平衡点,在生动幽默中讲述数据挖掘的核心思想、关键技术以及一些在其它相关课程和教科书中少有涉及的重要知识点。本课程适合对大数据和数据科学感兴趣的各专业学生以及工程技术人员学习,不追求纯粹的理论推导,而是把理论与实践有机结合,让学生学到活的知识、有用的知识和真正属于自己的知识,特别是数据分析领域的研究方法和思维方式。

Despite the large volume of data mining papers and tutorials available on the web, aspiring data scientists find it surprisingly difficult to locate an overview that blends clarity, technical depth and breadth with enough amusement to make big data analytics engaging. This course does just that.

Each module starts with an interesting real-world example that gives rise to the specific research question of interest.

Students are then presented with a general idea of how to tackle this problem along with some intuitive and straightforward approaches.

Finally, a number of representative algorithms are introduced along with concrete examples that show how they function in practice.

While theoretical analysis sometimes overcomplicates things for students, here it’s applied to help them better understand the key features of the techniques.

At a glance

  • Institution: TsinghuaX
  • Subject: Computer Science
  • Level: Advanced
  • Prerequisites:

    Undergraduate computer programming, data structure, linear algebra

What you'll learn

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  • Basic data science concepts
  • Typical data mining techniques
  • Applications for data mining
  • A taste of research in data mining
  • Funny stories about data science

Learner testimonials

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“I have studied some related online courses before. I found this one to be truly fascinating with well-organized and beautifully presented contents. Couldn’t wait for the next module!”
--Previous Student

About the instructors

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

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