This online data science specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. The first course introduces you to software architecture and design concepts necessary to build and scale large, data intensive, distributed systems. The second course reviews what is needed to take big data to production, transforming big data prototypes into high quality tested production software. And the third and final course concludes is a projects-based course in which you will use learnings from the first and second courses to build a production-ready distributed system.

By completing this specialization, you will be able to:

  • Practice software engineering fundamentals; test first development, refactoring, continuous integration, and continuous delivery
  • Architect and create a big data or distributed system using rest collaboration, event collaboration, and batch processing
  • Create a performant, scalable distributed system that handles big data

Courses

  • Fundamentals of Software Architecture for Big Data

  • Software Architecture Patterns for Big Data

  • Applications of Software Architecture for Big Data

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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