Search result for Courses taught by Mine Çetinkaya-Rundel
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Introduction to Probability and Data with R
by Mine Çetinkaya-Rundel- 4.7
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Approx. 14 hours to complete
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization....
Inferential Statistics
by Mine Çetinkaya-Rundel- 4.8
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Approx. 17 hours to complete
This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. About the Specialization and the Course About Statistics with R Specialization...
Linear Regression and Modeling
by Mine Çetinkaya-Rundel- 4.7
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Approx. 10 hours to complete
This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? About Linear Regression and Modeling Introduction to Statistics with R...
Bayesian Statistics
by Mine Çetinkaya-Rundel , David Banks , Colin Rundel , Merlise A Clyde- 3.8
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Approx. 35 hours to complete
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. " About the Specialization and the Course...
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
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Approx. 6 hours to complete
The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. The analysis will implement both frequentist and Bayesian techniques and discuss in context of the data how these two approaches are similar and different, and what these differences mean for conclusions that can be drawn from the data....
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Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics....
Course Definition & Meaning - Merriam-Webster
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course: [noun] the act or action of moving in a path from point to point....
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Free Online Courses. Our free online courses provide you with an affordable and flexible way to learn new skills and study new and emerging topics. Learn from Stanford instructors and industry experts at no cost to you....
Online Courses - Learn Anything, On Your Schedule | Udemy
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Udemy is an online learning and teaching marketplace with over 185,000 courses and 49 million students. Learn programming, marketing, data science and more....
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Courses. The listing of a course description here does not guarantee a course’s being offered in a particular semester. Please refer to the published schedule of classes on the Student Link for confirmation a class is actually being taught and for specific course meeting dates and times....
