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.
Earn credit toward a master's degree
This specialization is part of the fully-online accredited Master of Computer Science in Data Science from University of Illinois at Urbana-Champaign.
Created by:
6 courses
Follow the suggested order or choose your own.
Projects
Designed to help you practice and apply the skills you learn.
Certificates
Highlight your new skills on your resume or LinkedIn.
Courses
- Intermediate Specialization.
- Some related experience required.
COURSE 1
Data Visualization
Upcoming session: Oct 23- Subtitles
- English
About the Course
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 miYou can choose to take this course only. Learn more.
COURSE 2
Text Retrieval and Search Engines
Upcoming session: Oct 23- 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. TextYou can choose to take this course only. Learn more.
COURSE 3
Text Mining and Analytics
Upcoming session: Oct 30- 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 aYou can choose to take this course only. Learn more.
COURSE 4
Pattern Discovery in Data Mining
Upcoming session: Oct 23- Subtitles
- English
About the Course
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 miYou can choose to take this course only. Learn more.
COURSE 5
Cluster Analysis in Data Mining
Upcoming session: Oct 30- 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-basedYou can choose to take this course only. Learn more.
COURSE 6
Data Mining Project
Upcoming session: Jan 1- 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 miningYou can choose to take this course only. Learn more.
Creators
John C. Hart
Professor of Computer Science
Jiawei Han
Abel Bliss Professor
ChengXiang Zhai
Professor
FAQs
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