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Statistics with R Capstone

This course is a part of Statistics with R, a 5-course Specialization series from Coursera.

The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question. The analysis will implement both frequentist and Bayesian techniques and discuss in context of the data how these two approaches are similar and different, and what these differences mean for conclusions that can be drawn from the data. A sampling of the final projects will be featured on the Duke Statistical Science department website. Note: Only learners who have passed the four previous courses in the specialization are eligible to take the Capstone.

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Duke University

Rating 4.6 based on 20 ratings
Length 9 weeks
Effort 5-10 hours/week
Starts Feb 25 (9 weeks ago)
Cost $79
From Duke University via Coursera
Instructors Merlise A Clyde, Colin Rundel, David Banks, Mine Çetinkaya-Rundel, Mine Çetinkaya-Rundel
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Data Analysis Probability And Statistics

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What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

professor m. clyde in one review

Professor M. Clyde is one of the world's leading experts on Bayes, and the creator of the BAS package.

documenting your approach in one review

While Rmd is a good format for documenting your approach and creating a reproducible data analysis, the report presented to stakeholders should take a much different form.

having long summary in one review

Furthermore, having long summary output of various models and other such code is generally not helpful to non-technical stakeholders.

less steeper learning in one review

I would like to have more of her teaching, but at a slightly less steeper learning curve.

little behind compared in one review

Overall, I would say that I felt a little behind compared to my peers in this specialization, since I started from zero; but on the other hand, I was still able to successfully complete it, so with a lot of hard work it is possible.

nice portfolio item in one review

Great course, learned a lot and got me started on another project that I've turned into a really nice portfolio item.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Online Faculty - Multimedia Capstone $27k

Capstone Advisor, Masters in Real Estate $57k

Assistant Capstone Project Manager $58k

Postdoctoral Capstone Researcher $59k

Capstone Experience Researcher $64k

Capstone Project Manager $73k

Planner/Project Manager- Capstone Experience $86k

Project Architect, Project Manager $94k

Senior Capstone Researcher $99k

Industrial Engineer Capstone $103k

Capstone Project Mechanical Engineer $131k

Project Manager, Project Engineering $143k

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Coursera

&

Duke University

Rating 4.6 based on 20 ratings
Length 9 weeks
Effort 5-10 hours/week
Starts Feb 25 (9 weeks ago)
Cost $79
From Duke University via Coursera
Instructors Merlise A Clyde, Colin Rundel, David Banks, Mine Çetinkaya-Rundel, Mine Çetinkaya-Rundel
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Mathematics
Tags Data Science Data Analysis Probability And Statistics

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