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The courses in this specialization element several different assignments that can check the learner’s expertise and skill to use material as a result of strategy checks, penned analyses, and Python programming assessments.

This course will introduce and examine a variety of statistical modeling procedures, like linear regression, logistic regression, generalized linear designs, hierarchical and combined consequences (or multilevel) styles, and Bayesian inference approaches. All approaches is going to be illustrated applying several different real knowledge sets, and also the course will emphasize different modeling strategies for different types of data sets, depending upon the analyze layout fundamental the info (referring back to Course one, Being familiar with and Visualizing Info with Python).

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