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Empirical Methods for the Computational Sciences

In the STAT 583 Empirical Methods for the Computational Sciences course, students are introduced to exploratory data analysis and statistical methods for computer-related research. In this course, students will learn about specific topics such as linear regression, sensitivity analysis, logistic regression, analysis of variance, forecasting, simulation techniques and bootstrap methods, bioinformatics, Poisson's regression, model diagnostics, interactions between variables, Markov chains and processes and results of empirical studies.

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Check out the following relevant courses that are being offered by the professionals of ExpertsMinds:

  • STAT 202: Career Development in Math and Statistics
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  • STAT 101: Principles of Statistics
  • STAT 201: Introduction to Statistical Concepts and Methods
  • STAT 341: Introduction to the Theory of Probability and Statistics I
  • STAT 473: Introduction to Survey Sampling
  • STAT 490: Independent Study
  • STAT 503: Exploratory Methods and Data Mining
  • STAT 521: Theory and Applications of Sample Surveys
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