I&C SCI X426.61

Data Exploration, Analytics and Visualization

Once data has been effectively collected, structured and cleaned, it’s time to explore and uncover applicable meaning from the data. Learn the basics of how to use processes and tools from machine learning, data mining and predictive analytics to begin this journey. Understand how to collect and gain value from the vast amount of often untapped un-unstructured (text) data. Key industry processes for understanding and utilizing data and developing predictive and related models will be covered. An overview of related topics including Graph Analytics (PageRank, community detection, recursive queries, iterative processing) and data provenance, privacy, ethics, governance will also be covered. Students will also learn techniques for visualizing data including multivariate, temporal, text-based, hierarchical, and network/graph-based data. Prerequisite: I&C SCI X426.60 Introduction to Data Science.

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Course
Approximate Cost TBD
Format Online
Duration TBD
Total Credits 3