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Introduction to Data Science or CSBP 224

Output:
The course is an introductory overview of methodologies, processes and tools for working with data. Topics to be covered are introduction to management of a data science project, preparation of data, modeling data, evaluation of a model, building a data pipeline, the three types of analytics: descriptive, predictive and prescriptive; as well as business intelligence fundamentals. Professional skills, such as communication, presentation, and storytelling with data, are also covered. Students will acquire a working knowledge of data science through hands-on projects and case studies in various domains. Bias in training data, bias in AI and current collaborative data science working methodologies and tools are also highlighted.