Statistics with R Specialization

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Course Features

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Duration

7 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

3 hours per week

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Teaching Type

Self Paced

Course Description

This Specialization will teach you how to visualize and analyze data in R. You'll also learn how to create reproducible reports and critique data-based claims. The Specialization will allow you to create a portfolio of data analysis projects that demonstrate mastery in statistical data analysis, from exploratory analysis to modeling to inference and modeling. This portfolio can be used to apply for data scientist or statistical analysis positions.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

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

Course Instructors

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Mine Çetinkaya-Rundel

Associate Professor of the Practice

Mine Çetinkaya-Rundel is an Assistant Professor of the Practice at the Department of Statistical Science at Duke University. She received her Ph.D. in Statistics from the University of California, Lo...
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David Banks

Professor of the Practice

David Banks is a Professor of the Practice in the Department of Statistical Science at Duke University. He received his PhD in statistics in 1984 from Virginia Tech. He has previously served on the f...
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Colin Rundel

Assistant Professor of the Practice

Colin Rundel is an Assistant Professor of the Practice in the Department of Statistical Science at Duke University. He received his Ph.D. in Statistics from the University of California, Los Angeles,...
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Merlise A Clyde

Professor

Dr. Merlise Clyde is Professor of Statistical Science at Duke University and has served as Chair of the Department of Statistical Science at Duke since 2013. She received her PhD in 1993 from the Uni...
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