Created by:   Johns Hopkins University

  • 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

  • Brian Caffo, PhD

    Taught by:    Brian Caffo, PhD, Professor, Biostatistics

    Bloomberg School of Public Health

Basic InfoCourse 8 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
Course 8 of Specialization
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.

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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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Ratings and Reviews
Rated 4.4 out of 5 of 899 ratings

Really enlightening! It has short videos that fully explicate and explain the concepts and also give you code you can use! The code actually works! I would prefer that the instructor get a proper microphone so his voice sounds not so harsh, but this can be forgiven, because the content really is awesome!

You can also download all the lectures (and there are transcripts, too), which is great for later reference.

Try it - you will like it!

In my opinion, the best course of the entire Data Science Specialization

Great course

PML is a deep subject and this course is an excellent foundation for further studies. Prof Leek has taught brilliantly on the basic concepts of PML given the short time of 4 weeks. You need college level statistics to fully appreciate the theories of the PML's lectures.