The Data Mining Foundations and Practice specialization offered by the University of Colorado Boulder is designed for data science professionals and domain experts seeking to master fundamental concepts and core techniques for discovering patterns in large-scale data sets.
The specialization consists of three courses:
Throughout the specialization, participants will learn to identify the key components of the data mining pipeline, apply techniques to address challenges, and evaluate data modeling techniques suitable for specific tasks. They will also gain the ability to design and develop real-world solutions across the full data mining pipeline, summarize and present key findings, and analyze the overall project process to identify possible improvements.
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The Data Mining Foundations and Practice specialization consists of three courses: Data Mining Pipeline, Data Mining Methods, and Data Mining Project. Participants will learn to identify key components, apply techniques, evaluate data modeling, and design real-world solutions.
Identify the key components of the data mining pipeline and describe how they're related. Address challenges presented by each component using relevant techniques.
Understand the core functionalities of data modeling in the data mining pipeline. Apply and evaluate techniques for data modeling, determining the most suitable approach for specific tasks and identifying potential improvements.
Propose a real-world data mining project, design and develop solutions across the full data mining pipeline, present key findings, and analyze the overall project process to identify possible improvements.
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