Created by:   Johns Hopkins University

  • Brian Caffo, PhD

    Taught by:    Brian Caffo, PhD, Professor, Biostatistics

    Bloomberg School of Public Health

  • Jeff Leek, PhD

    Taught by:    Jeff Leek, PhD, Associate Professor, Biostatistics

    Bloomberg School of Public Health

  • Roger D. Peng, PhD

    Taught by:    Roger D. Peng, PhD, Associate Professor, Biostatistics

    Bloomberg School of Public Health
Basic Info
Course 9 of 10 in the Data Science Specialization.
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.4 stars
Average User Rating 4.4See 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
Johns Hopkins University
Pricing
AuditPurchase Course
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Ratings and Reviews
Rated 4.4 out of 5 of 587 ratings

Nice course. Developping a web app in R is not exactly mainstream, but I learned a lot.

One of the best modules where you can learn how to apply the knowledge!

I think this one is the best from the Specialization as it is the most Practical one (more than Practical Machine Learning).

Can be taken without the others if you have basic experience in R and want to learn about cool R applications.

The reason I don't give full rating is for not having practical assignment every week. So there wasn't enough effort put into the course. Of course, we can do optional homework and make more applications, but assignments like these should be mandatory. There is no package building and no swirl course building - So why do we have week 3 and 4 at all? The quizzes are also laughable - no knowledge testing at all.

So although I liked this course from the Specialization the most, I still can't give full rating because of the mentioned issues.

Great