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CIT 257 — Advanced Data Analytics

3 credits · 3 hours

is designed for students who have completed foundational courses in database systems, data analytics, and cloud database management. This course explores more advanced data analytics techniques, exploring complex data models, machine learning algorithms, big data technologies, and their applications in cloud environments. Students engage with real-world datasets, utilizing advance tools and platforms like Python, R, Spark, MongoDB, and Hadoop in cloud settings such as Azure and Amazon Web Services (AWS) to perform predictive modeling, data mining, and comprehensive data analysis. Emphasis is on interactive learning, including hands-on projects, case studies, and collaborative research tasks, to prepare students s in the field of data science and analytics. Prerequisites: CIT 125 , CIT 285 , and CIT 155 with minimum grades of "C", and Reading Proficiency

Prerequisites: CIT 125, CIT 285, CIT 155

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