Created by:  Duke University

  • Merlise A Clyde

    Taught by:  Merlise A Clyde, Professor

    Department of Statistical Science

  • Colin Rundel

    Taught by:  Colin Rundel , Assistant Professor of the Practice

    Statistical Science

  • David Banks

    Taught by:  David Banks, Professor of the Practice

    Statistical Science

  • Mine Çetinkaya-Rundel

    Taught by:  Mine Çetinkaya-Rundel, Assistant Professor of the Practice

    Department of Statistical Science
Basic Info
Course 5 of 5 in the Statistics with R Specialization.
Commitment5-10 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.7 stars
Average User Rating 4.7See what learners said
Syllabus

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Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Creators
Duke University
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
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Ratings and Reviews
Rated 4.7 out of 5 of 27 ratings

Great course, learned a lot and got me started on another project that I've turned into a really nice portfolio item. I feel much more comfortable with R and statistics principles.

Great

This section guides you through performing a complete analysis. Some of the grading criteria are inconsistent with the tasks stated in the project. However, in my experience giving the kind of report that you'd generate from R markdown to a non-technical, non-statistically minded stakeholder will result in bewilderment. 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. In writing an Rmd, you are necessarily constrained by the need to write code in a particular order -- that order may not be the most beneficial one to present. Furthermore, having long summary output of various models and other such code is generally not helpful to non-technical stakeholders. I understand that not using Rmd would make grading more difficult, so I'm ok with Rmd being used here. But I think that it would be good to explain this all to students.

Very interesting project, a great real-world application example. Highly recommended to anyone that finishes the previous classes.