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DS 6050 - Seminar in Data Science |

Offers students an opportunity to learn how to approach data analysis problems in a systematic manner and to learn how to design data analysis pipelines, as well as how to implement them at scale in the context of real-world problems. Data science is at the intersection of statistics, machine learning, and software development. Data analysis problems are solved in a series of datacentric steps: data acquisition, data cleaning, data transformation, data modelling, and data visualization.
4.000 Credit hours 4.000 Lecture hours Levels: Graduate Schedule Types: Seminar Data Science Department Course Attributes: Graduate CCIS Data Sci Cert Restrictions: Must be enrolled in one of the following Programs: MS Data Science Must be enrolled in one of the following Levels: Graduate |

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