Detailed Course Information |
Fall 2015
Apr 20, 2024 |
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| APMA 0640 - Data Analysis Big and Small |
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A first course in statistics emphasizing a principled approach to data analysis through the use of probabilistic simulations: The focus is on the fundamental concepts of statistical inference and probability, and their application in modern data analysis. The premise of this course is that stochastic simulations provide an alternative to calculus for learning the fundamental concepts of statistical inference and probability theory that are typically covered in more advanced courses. From this foundation we will explore how big data impact both the questions and answers in data science. Suitable alternative to APMA0650. No prerequisites are required.
1.000 Credit hours 1.000 Lecture hours Levels: Extra Credit Graduate, Undergraduate Schedule Types: Primary Meeting Applied Mathematics Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate |
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