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Data Mining Specialization by Coursera

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Course Features

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Duration

8 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

The Data Mining Specialization covers both structured data that conforms to a defined schema and unstructured data that exists in the form natural language text. The course topics include data visualization, pattern discovery, clustering and text retrieval. The Capstone project is to solve real-world problems in data mining using Yelp's restaurant review data. This Specialization forms the lecture component of the online Master of Computer Science Degree (Data Science) courses 2-5. The degree program can be applied to either before or after the Specialization.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data

Learn the general concepts of data mining along with basic methodologies and applications

Major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making

Search engine technologies, which play an important role in any data mining applications involving text data

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