Master Statistics with R: Duke University

<div dir="ltr" style="text-align: left;" trbidi="on"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEionIIzqyZyZP3vSjBkU9PVcJYfKmvjFLYSLd8O-a_UCzoTkAJUtKm1CNrMXO9lOb0WnC0GvGcKqdqAZYB7oaBGgbP0g1lbL_JgHjI6zy7ITfwemJQcjeZ-ZBHC0UC3O9cggTMaojGMiYkv/s1600/dukewidelogo2.png" imageanchor="1"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEionIIzqyZyZP3vSjBkU9PVcJYfKmvjFLYSLd8O-a_UCzoTkAJUtKm1CNrMXO9lOb0WnC0GvGcKqdqAZYB7oaBGgbP0g1lbL_JgHjI6zy7ITfwemJQcjeZ-ZBHC0UC3O9cggTMaojGMiYkv/s400/dukewidelogo2.png" /></a><br /><br />Program: Paid<br /><a href="https://www.coursera.org/specializations/statistics">Program Information</a><br /><br /><div class="rc-SectionHeader" data-reactid=".0.0.1.1.1.1.0.0" style="background-color: whitesmoke; border-bottom-color: rgb(230, 230, 230); border-bottom-style: solid; border-bottom-width: 1px; box-sizing: border-box; color: #333333; font-family: OpenSans, Arial, sans-serif; font-size: 14px; line-height: 21px; margin-bottom: 20px;"><div class="s12n-section-header-title" data-reactid=".0.0.1.1.1.1.0.0.0" style="border-bottom-color: rgb(184, 145, 115); border-bottom-style: solid; border-bottom-width: 1px; box-sizing: border-box; display: inline-block; font-size: 16px; line-height: 19px; margin: 0px 0px -1px; padding: 10px 40px 10px 0px;">About This Specialization</div></div><div class="rc-CML styled" data-reactid=".0.0.1.1.1.1.0.1" style="background-color: whitesmoke; box-sizing: border-box; color: #333333; font-family: OpenSans, Arial, sans-serif; font-size: 14px; line-height: 21px; word-wrap: break-word;"><div data-reactid=".0.0.1.1.1.1.0.1.0" style="box-sizing: border-box; margin-bottom: 0px !important;"><div style="box-sizing: border-box; margin-bottom: 20px; min-height: 20px;">In this Specialization, you will learn to analyze and visualize data in R and created 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.</div><div style="box-sizing: border-box; min-height: 20px;">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.</div><div style="box-sizing: border-box; min-height: 20px;"><br /></div></div></div></div>

Master Statistics with R: Duke University

Program: Paid Program Information About This Specialization In this Specialization, you will learn to analyze and visualize data in R and cr...

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