Who is this class for: Some programming experience (in any language) is recommended.


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 2 of 10 in the Data Science Specialization.
LevelIntermediate
Language
English, Subtitles: Chinese (Simplified)
How To PassPass all graded assignments to complete the course.
User Ratings
4.5 stars
Average User Rating 4.5See what learners said
Course 2 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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Ratings and Reviews
Rated 4.5 out of 5 of 4,609 ratings

Excellent Course! The lectures are very well explained, the practice exercises must definitely be done for practice (like the name suggests), and every assignment and quiz should be done not from the point of view of marks but understanding the concept and logically being able to implement the task. Complete the course in all seriousness and you're in great stead to use R for analytics.

I loved the way that this course has been structured. In addition, the sheer number of users makes this course more enjoyable since you can get your queries solved easily.

Nice introductory course to programming in R

This is extremely helpful!