Created by:   Johns Hopkins University

  • Brian Caffo, PhD

    Taught by:    Brian Caffo, PhD, 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

  • Jeff Leek, PhD

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

    Bloomberg School of Public Health
Basic Info
Course 7 of 10 in the Data Science Specialization.
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.3 stars
Average User Rating 4.3See what learners said
Syllabus

FAQs
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
AuditPurchase Course
Access to Course Materials

Available

Available

Access to Graded Materials

Not available

Available

Receive a Final Grade

Not available

Available

Earn a Shareable Certificate

Not available

Available

Ratings and Reviews
Rated 4.3 out of 5 of 1,039 ratings

good course

B

Very Good Course !

With the first few videos, I was concerned I would be re-living the nightmare that was the Statistical Inference course. (I gave a long review of that one. To summarize Statistical Inference: I hated it. But I learned things. Those things stuck. I used them in real life. That's good.)

But wow, after getting through this course, I loved it. Very practical and useful stuff. It had me thirsting for more information and I found myself reading unassigned material. I became particularly interested in Anova and continuing to read up on it even though I am done the course.

I would take this course again. I would recommend it to those wanting to learn more about data science. It's got some quirks and room for improvement, but overall it's a good course.