This online data science specialization is intended for both data science professionals and domain experts who want to learn about fundamental concepts and core techniques in data mining for discovering patterns in large-scale data sets, with a specific focus on issues related to effectiveness and efficiency.

By completing this specialization, you will be able to:

  • Identify the core components of the data mining pipeline and describe their relative functionalities
  • Prepare, organize, and analyze data in order to build a data mining pipeline
  • Identify different data mining methods and apply them to appropriate problems
  • Evaluate which data mining methods work best in which scenarios and improve on those methods
  • Develop real-world solutions across the full data mining pipeline

Courses

  • Data Mining Pipeline
  • Data Mining Methods
  • Data Mining Projects

This specialization can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science and MS in Computer Science.

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