Data Analysis with R

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Data Analysis with R provided by Coursera is a comprehensive online course, which lasts for 22 weeks long, 2 hours a week. Data Analysis with R is taught by Mine Çetinkaya-Rundel. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • 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.

Syllabus
  • 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.