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Duke University

Data Analysis with R

Duke University via Coursera Specialization


In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and visualize data with R packages for data analysis.


Course 1: Introduction to Probability and Data with R
- Offered by Duke University. This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. ... Enroll for free.

Course 2: Inferential Statistics
- Offered by Duke University. This course covers commonly used statistical inference methods for numerical and categorical data. You will ... Enroll for free.

Course 3: Linear Regression and Modeling
- Offered by Duke University. This course introduces simple and multiple linear regression models. These models allow you to assess the ... Enroll for free.


Taught by

Mine Çetinkaya-Rundel


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