Data Mining Specialization

Started May 21

Data Mining Specialization

Analyze Text, Discover Patterns, Visualize Data. Solve real-world data mining challenges.

About This Specialization

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.

Created by:

courses
6 courses

Follow the suggested order or choose your own.

projects
Projects

Designed to help you practice and apply the skills you learn.

certificates
Certificates

Highlight your new skills on your resume or LinkedIn.

Courses
Intermediate Specialization.
Some related experience required.
  1. COURSE 1

    数据可视化

    Current session: May 21
    Subtitles
    English, Korean

    About the Course

    这这一课程中,我们将学习数据挖掘的基本概念及其基础的方法和应用,然后深入到数据挖掘的子领域——模式发现中,深入学习模式发现的概念、方法,及应用。我们也将介绍基于模式进行分类的方法以及一些模式发现有趣的应用。这一课程将给你提供学习技能和实践的机会,将可扩展的模式发现方法应用在在大体量交易数据上,讨论模式评估指标,以及学习用于挖掘各类不
  2. COURSE 2

    Text Retrieval and Search Engines

    Current session: May 21
    Subtitles
    English

    About the Course

    Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text
  3. COURSE 3

    Text Mining and Analytics

    Upcoming session: May 28
    Subtitles
    English

    About the Course

    This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to a
  4. COURSE 4

    Pattern Discovery in Data Mining

    Current session: May 21
    Subtitles
    English

    About the Course

    这这一课程中,我们将学习数据挖掘的基本概念及其基础的方法和应用,然后深入到数据挖掘的子领域——模式发现中,学习模式发现深入的概念、方法,及应用。我们也将介绍基于模式进行分类的方法以及一些模式发现有趣的应用。这一课程将给你提供学习技能和实践的机会,将可扩展的模式发现方法应用在在大体量交易数据上,讨论模式评估指标,以及学习用于挖掘各类不
  5. COURSE 5

    Cluster Analysis in Data Mining

    Upcoming session: May 28
    Subtitles
    English

    About the Course

    Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based
  6. COURSE 6

    Data Mining Project

    Upcoming session: Jun 18
    Subtitles
    English

    About the Capstone Project

    Note: You should complete all the other courses in this Specialization before beginning this course. This six-week long Project course of the Data Mining Specialization will allow you to apply the learned algorithms and techniques for data mining

Creators

  • University of Illinois at Urbana-Champaign

    Founded in 1867, the University of Illinois at Urbana-Champaign pioneers innovative research that tackles global problems and expands the human experience.

    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.

  • John C. Hart

    John C. Hart

    Professor of Computer Science
  • Jiawei Han

    Jiawei Han

    Abel Bliss Professor
  • ChengXiang Zhai

    ChengXiang Zhai

    Professor

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