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University of Illinois at Urbana-Champaign

Data Mining

University of Illinois at Urbana-Champaign via Coursera Specialization

Overview

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.

Syllabus

Course 1: Data Visualization
- Offered by University of Illinois at Urbana-Champaign. Learn the general concepts of data mining along with basic methodologies and ... Enroll for free.

Course 2: Text Retrieval and Search Engines
- Offered by University of Illinois at Urbana-Champaign. Recent years have seen a dramatic growth of natural language text data, including web ... Enroll for free.

Course 3: Text Mining and Analytics
- Offered by University of Illinois at Urbana-Champaign. This course will cover the major techniques for mining and analyzing text data to ... Enroll for free.

Course 4: Pattern Discovery in Data Mining
- Offered by University of Illinois at Urbana-Champaign. Learn the general concepts of data mining along with basic methodologies and ... Enroll for free.

Course 5: Cluster Analysis in Data Mining
- Offered by University of Illinois at Urbana-Champaign. Discover the basic concepts of cluster analysis, and then study a set of typical ... Enroll for free.

Course 6: Data Mining Project
- Offered by University of Illinois at Urbana-Champaign. Note: You should complete all the other courses in this Specialization before ... Enroll for free.

Taught by

ChengXiang Zhai, Jiawei Han and John C. Hart

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