Created by:   Duke University

  • Mine Çetinkaya-Rundel

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

    Department of Statistical Science
Basic Info
Course 1 of 5 in the Statistics with R Specialization.
LevelBeginner
Commitment5 weeks of study, 5-7 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

FAQs
How It Works
Coursework
Coursework

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

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Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

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Certificates

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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.
Pricing
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Ratings and Reviews
Rated 4.7 out of 5 of 886 ratings

Very well put-together course.

I like that the course has in-video quizzes as well as practice exercises to help prepare you for the weekly quizzes. The labs for the course are also very helpful.

The textbook that accompanies the course is freely available in pdf format online and the suggested exercises are a great complement to the rest of the course materials.

For those unfamiliar with R, the project is a bit of a leap from the rest of the contents in the course. To get around that, I'd suggest to both use the discussion forum (posts by mentor David Hood are particularly helpful) and to take both the R programming course and the Exploratory Data Analysis course from the Johns Hopkins data science sequence. Those 2 should together be doable in 5-6 weeks and at that point you should have sufficient background to where doing the project in this course (and those in follow-up courses in this specialization) should not be a problem.

Nice intro to stats and R.

I thoroughly enjoyed the videos, the special book accompanying the lectures and the R exercises. My particular favs are the book and the R assignments. Great job!

Excellent