Data Mining
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.
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- Level Professional
- Course by University of Illinois Urbana-Champaign
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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.Auto Summary
Discover essential data mining techniques with this professional-level course by Coursera. Focused on IT & Computer Science, it covers pattern discovery, clustering, text retrieval, text mining, and data visualization. Perfect for aspiring data scientists, the course includes a Capstone project tackling real-world challenges with Yelp restaurant reviews. Enhance your skills and consider applying these credits towards an online Master of Computer Science Degree in Data Science. Enroll with a Starter subscription for an engaging learning journey.
John C. Hart
ChengXiang Zhai
Jiawei Han