Introduction to Data Science

Basic concepts in data science. Topics covered are data collection, integration, management, modeling, analysis, visualization, prediction and decision making, data security and data privacy. Important statistical methods will be explored. Emphasis will be on applying data analysis methods to real-world data. Metrics for evaluating the quality of various methods will be presented. Students will complete hands-on experiments for analyzing and visualizing data sets using GUI interfaced software and Python programming in the labs.

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