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 3 of 10 in the Data Science Specialization.
Language
English, Subtitles: Russian, 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 3 of Specialization
Syllabus

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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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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.
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Ratings and Reviews
Rated 4.5 out of 5 of 2,221 ratings

Very useful and detailed summary of advance methods

Very good place to learn very important tools like dyplr and tidyr to access and clean from several formats

Very fundamental things that all data scientist must learn. You will know how useful of data.table and dplyr package.

Excellent course. It gets through the "dirty job" of obtaining data from diverse sources (including API, web, and others), cleaning it, and transforming it into a "tidy" dataset. Highly recommended, along with the R programming course (which you should take first).