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CS333

Statistical Methods for Data Science

Excelsior University 3 credits Computer Science

Course Description

This course offers a comprehensive exploration of statistical concepts and techniques crucial for mastering the intricacies of data science. Key topics include such as hypothesis testing, probability distributions, regression analysis, and advanced statistical modeling. Emphasizing the practical integration of statistical theory with data science applications, this course equips students with the skills to analyze complex real-world datasets, draw meaningful insights, and make informed decisions within the field of data science, and formulate well-structured questions conducive to effective statistical analysis using tools such as SPSS.

Code
CS333
Credits
3
Subject
Computer Science

Programs That Include This Course

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