About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 9 hours to complete

Suggested: 5-10 hours/week...

English

Subtitles: English

Skills you will gain

Model SelectionBayesian StatisticsStatistical AnalysisR Programming
Learners taking this Course are
  • Pharmacists
  • Data Analysts
  • Data Scientists
  • Project Managers
  • Software Engineers

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 9 hours to complete

Suggested: 5-10 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

About the Capstone Project

1 video (Total 6 min), 4 readings
4 readings
Introduction to the Capstone Course10m
Tips for Success and Suggested Work Pace10m
What to Do This Week5m
Learning Objectives for Courses 1-410m
Week
2
1 hour to complete

Exploratory Data Analysis (EDA)

2 readings, 1 quiz
2 readings
What to Do This Week10m
EDA Quiz - Assignment Guide10m
1 practice exercise
EDA Quiz28m
Week
3
5 minutes to complete

EDA and Basic Model Selection - Submission

1 reading
1 reading
What to Do This Week5m
Week
4
2 hours to complete

EDA and Basic Model Selection - Evaluation

1 reading, 1 quiz
1 reading
What to Do This Week10m
4.7
26 ReviewsChevron Right

29%

started a new career after completing these courses

40%

got a tangible career benefit from this course

17%

got a pay increase or promotion

Top reviews from Statistics with R Capstone

By JNMar 24th 2017

I think this is a very advisable course as a whole, The capstone offers a good occasion to put into practice what has been learned during the four previous courses and also works as a sort of review.

By ACJul 13th 2017

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.

Instructors

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Merlise A Clyde

Professor
Department of Statistical Science
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Colin Rundel

Assistant Professor of the Practice
Statistical Science
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David Banks

Professor of the Practice
Statistical Science
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Mine Çetinkaya-Rundel

Associate Professor of the Practice
Department of Statistical Science

About 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....

About the Statistics with R Specialization

In this Specialization, you will learn to analyze and visualize data in R and create 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. 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....
Statistics with R

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

More questions? Visit the Learner Help Center.