Created by:   Johns Hopkins University

  • Roger D. Peng, PhD

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

    Bloomberg School of Public Health

  • Jeff Leek

    Taught by:    Jeff Leek, Associate Professor, Biostatistics

    Bloomberg School of Public Health

  • Brian Caffo

    Taught by:    Brian Caffo, Professor, Biostatistics

    Bloomberg School of Public Health

Basic InfoCourse 5 of 10 in the Data Science Specialization.
Commitment4-9 hours/week
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
Course 5 of Specialization
Launch Your Career in Data Science. A nine-course introduction to data science, developed and taught by leading professors.
Syllabus

FAQs

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How It Works
Coursework
Coursework

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

Help from Your Peers
Help from Your Peers

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

Certificates
Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Creators
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Pricing
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Access to Graded Materials

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Receive a Final Grade

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Earn a Shareable Certificate

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Ratings and Reviews
Rated 4.4 out of 5 of 1,056 ratings

Great course. Make you think like a scientist.

Could have more content in deep

The concept is very important, so it's good that this course is available. The video's are sometimes not that great of quality. It's okay to show recordings of lectures, but the sound is of less quality.

Another thing is that the teacher says a lot of "euhm". I know he cannot help that, but once you notice this it becomes a bit annoying.

I found all the topics of this course important. Not only for my professional career but also for everyone who is involved with data and science in general.