Statistics with R Specialization

Statistics with R Specialization

Department

Statistical Science

Beginner

English

5 courses

Variable

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.

You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions.

Instructors

Mine Çetinkaya-Rundel
Mine Çetinkaya-Rundel

Associate Professor of the Practice in the Department of Statistical Science

David Banks
David Banks

Professor of the Practice of Statistical Science

Merlise Clyde
Merlise Clyde

Professor of Statistical Science

Colin Rundel
Colin Rundel

Assistant Professor of the Practice of Statistical Science

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