Data Mining
About this course
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.
82/100
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- 31/45
- Who stands behind it
- 35/35
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- 16/20
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What you'll learn
- understand and apply data mining techniques
- analyze structured and unstructured data
- perform clustering and pattern discovery
- execute text retrieval and text mining
- create data visualizations
Course objectives
- develop skills to solve real-world data mining challenges
- gain practical experience through a Capstone project
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