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Data Analysis with R

Mine Çetinkaya-Rundel and Mine Ã‡etinkaya-Rundel

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.

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What's inside

Two courses

Introduction to Probability and Data with R

(0 hours)

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.

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Linear Regression and Modeling

(0 hours)

This course introduces simple and multiple linear regression models. These models let you assess relationships between variables in a data set and a continuous response variable. Using the free statistical software R and RStudio, you will learn to fit, examine, and utilize regression models to examine relationships between multiple variables.

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Learning objectives

Analyze and visualize data
Perform hypothesis tests, interpret statistical results (e.g., p-values), and report the results of your analysis to clients

Fit, examine, and utilize regression models to examine relationships between multiple variables
Install and use r and rstudio

Analyze and visualize data
Perform hypothesis tests, interpret statistical results (e.g., p-values), and report the results of your analysis to clients
Fit, examine, and utilize regression models to examine relationships between multiple variables
Install and use r and rstudio

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Time

0 hours

Level

Introductory

Via

Coursera

Institution

Duke University

Instructors

Mine Çetinkaya-Rundel

Mine Ã‡etinkaya-Rundel

Level

Introductory

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