Statistics with R

Completed by Sean Andrew Angiolillo

March 1, 2018

5 weeks of study, 5-7 hours/week average per course

Course Certificates Completed

Bayesian Statistics

Inferential Statistics

Linear Regression and Modeling

Statistics with R Capstone

Introduction to Probability and Data with R

View certificate for Sean Andrew Angiolillo, Statistics with R, offered through Coursera. To be successful in this specialization, learners have analyzed and visualized data in R and created reproducible data analysis reports, demonstrated a conceptual understanding of the unified nature of statistical inference, performed frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicated statistical results correctly, effectively, and in context without relying on statistical jargon, critiqued data-based claims and evaluated data-based decisions.

Course Certificates

Earned after completing each course in the Specialization

Bayesian Statistics

Duke University

Taught by: Mine Çetinkaya-Rundel, David Banks, Colin Rundel & Merlise A Clyde

Completed by: Sean Andrew Angiolillo by November 11, 2017

5 weeks of study, 5-7 hours/week

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Inferential Statistics

Duke University

Taught by: Mine Çetinkaya-Rundel

Completed by: Sean Andrew Angiolillo by October 21, 2017

5 weeks of study, 5-7 hours/week

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Linear Regression and Modeling

Duke University

Taught by: Mine Çetinkaya-Rundel

Completed by: Sean Andrew Angiolillo by October 15, 2017

4 weeks of study, 5-7 hours/week

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Statistics with R Capstone

Duke University

Taught by: Merlise A Clyde, Colin Rundel , David Banks & Mine Çetinkaya-Rundel

Completed by: Sean Andrew Angiolillo by March 1, 2018

5-10 hours/week

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Introduction to Probability and Data with R

Duke University

Taught by: Mine Çetinkaya-Rundel

Completed by: Sean Andrew Angiolillo by October 15, 2017

5 weeks of study, 5-7 hours/week

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