Course Information
Description
This class brings together all the skills in the student's toolbox by creating a solution to a real world problem over the course of a semester. They will bring together data stored in a variety of formats and locations -- including the cloud, cleanse it, analyze it, visualize it and communicate their findings.
Total Credits
0
Course Competencies
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Collaborate within a project team to deliver a comprehensive analytics solution for a complex, real-world business problem in a cloud environment
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Construct data aggregation logic to transform raw, granular event logs into structured daily and categorical summaries for high-level analysis
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Resolve advanced analytical obstacles—such as detrending and data stability—through independent research and logical troubleshooting
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Translate business questions into multidimensional analytical perspectives by shifting from simple temporal reporting to variable-driven correlation analysis
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Orchestrate automated data workflows using Azure services to manage and scale the end-to-end processing of cloud-based datasets
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Appraise the technical and architectural trade-offs between various supervised and unsupervised learning algorithms to justify model selection for a given use case
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Synthesize disparate data sources to identify meaningful relationships and drivers within a large-scale dataset
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Demonstrate logical independence by implementing technical solutions to "unstructured" data puzzles without direct instructional guidance
This Outline is under development.