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CIS 264 — Introduction to Data Analytics

3 credits · 3 hours

/3 contact hours The necessity for analytics skills is reflective of the growth in the number of analytics and decision learning opportunities and challenges facing businesses. Organizations have long known and embraced the concept that data–driven decision making is key to strategic planning, vision, and mission success. This course offers students an opportunity to study the applied world of data analytics from a theoretical and conceptual perspective, enabling them to better understand the power of Big Data. Case studies of the healthcare industry are used to illustrate how both, AI, and data analytics, transform industries. Students will have an overview of deep learning and its key architectures, and an in–depth look at the data analytics life cycle and how it is applied to unstructured, raw data. Additionally, this course will develop student skills and create captivating visualizations using the python and R programming languages. Prerequisite(s): CIS 131 or CIS 170 or CIS 174 Core fulfilled: None

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