| CIS 140 - Big Data Analytics |
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CIS 140 Big Data Analytics Introduction to the field of Big Data, its concepts and technologies, as well as current programming environments such as R and Python. Students will explore the roles of a data scientist in terms of network architecture, data analytics and predictive analysis. Fundamental questions of data science and scenarios appropriate for each will be discussed. Differentiation among raw data, clean data, and tidy data; and tools to convert data to/from these formats will be covered. Effective management of large data in single and distributed computing environments, including managing data redundancy and failures, will be covered. Introduction to Data Mining and Machine Learning techniques: classification, correlation, cluster analysis, frequent patterns and data visualization will be introduced. Intended for students with previous programming experience. Units: 4 Degree Credit Grade Option (Letter Grade or Pass/No Pass)
Prerequisites: None Corequisites: None Recommended: Completion of CIS 254. or CIS 117 Transfer Credit: CSU, UC
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College of San Mateo Department: Computer Science Number of Units: 4 This description is for the Fall 2024 term |