What you will learn in Data Mining Specialization Course
- Understand and apply data mining techniques to both structured and unstructured data.
- Discover patterns, perform clustering, and conduct text retrieval and mining.
- Visualize data effectively to communicate insights.
- Execute a real-world data mining project using a large dataset.
Program Overview
Data Visualization
⏱️ 15 hours
- Learn to create effective data visualizations.
- Understand design principles and human cognition in data display.
- Use tools like Tableau for data extraction and visualization.
Text Retrieval and Search Engines
⏱️ 30 hours
Explore search engine technologies and their role in data mining.
Understand text retrieval concepts and techniques.
Text Mining and Analytics
⏱️ 33 hours
Learn statistical approaches for text data analysis.
Discover patterns and extract knowledge from text data.
Pattern Discovery in Data Mining
⏱️ 17 hours
- Understand concepts and methods of pattern discovery.
- Apply techniques to mine diverse kinds of patterns.
Cluster Analysis in Data Mining
⏱️ 10 hours
- Apply learned techniques to a real-world dataset from Yelp.
- Simulate the workflow of a data miner in a job setting.
- Integrate different mining techniques to solve practical challenges.
Cluster Analysis in Data Mining
⏱️ 16 hours
- Study clustering methodologies and algorithms.
- Learn methods for clustering validation and evaluation.
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Job Outlook
Proficiency in data mining is valuable for roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst.
Skills acquired in this specialization are applicable across various industries, including technology, healthcare, finance, and marketing.
Completing this specialization can enhance your qualifications for positions that require expertise in data analysis and pattern discovery.
Specification: Data Mining Specialization
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