MSDS 434-DL Data Science and Cloud Computing.

This course introduces technologies and systems for developing and implementing data science solutions. It takes a cloud-native approach to delivering analytics applications that are scalable, highly available, and easy to maintain. Students work on systems integration projects, automating stages of application development and using open-source programming languages and systems. They learn about continuous integration and continuous delivery (CI/CD) in the cloud, employing best practices in software engineering. Recommended prior courses: (A) MSDS 431-DL Data Engineering with Go, (B) MSDS 432-DL Foundations of Data Engineering, and (C) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning. Prerequisites: (1) MSDS 400-DL Math for Modelers and (2) MSDS 420-DL Database Systems or CIS 417 Database Systems Design.

Students benefit by taking the Go Learning Studio and MSDS 431-DL Data Engineering with Go prior to taking this course.

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