Course Description

This block prepares students with the necessary knowledge and skills to conduct industry capstone projects in data analytics. Students will be guided and tasked with solving real-world big data analytical problems, employing practical skills in classification, clustering, frequent pattern mining, and advanced machine learning

Course Outline

5 modules, asynchronous

Learner Outcomes

1. Describe the use of business-level implementation of big data analytics (all modules)
2. Describe productionalizing big data analytics with R or Python (all modules)
3. Explain enterprise data management and data warehousing (module 1)
4. Discuss and practice data classification (module 2)
5. Discuss and practice big data cluster analysis (module 3)
6. Discuss and practice frequent pattern mining in big data (module 4)
7. Apply and assess advanced machine learning (module 5)
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