About this Course
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Approx. 15 hours to complete

English

Subtitles: English, Korean, Vietnamese, Chinese (Simplified)

What you will learn

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    Apply cluster analysis techniques to locate patterns in data

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    Make graphical displays of very high dimensional data

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    Understand analytic graphics and the base plotting system in R

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    Use advanced graphing systems such as the Lattice system

Skills you will gain

Cluster AnalysisGgplot2R ProgrammingExploratory Data Analysis

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 15 hours to complete

English

Subtitles: English, Korean, Vietnamese, Chinese (Simplified)

Syllabus - What you will learn from this course

Week
1
20 hours to complete

Week 1

15 videos (Total 109 min), 6 readings, 7 quizzes
15 videos
Installing R on Windows (3.2.1)3m
Installing R on a Mac (3.2.1)1m
Installing R Studio (Mac)3m
Setting Your Working Directory (Windows)7m
Setting Your Working Directory (Mac)7m
Principles of Analytic Graphics12m
Exploratory Graphs (part 1)9m
Exploratory Graphs (part 2) 5m
Plotting Systems in R9m
Base Plotting System (part 1)11m
Base Plotting System (part 2)6m
Base Plotting Demonstration16m
Graphics Devices in R (part 1)5m
Graphics Devices in R (part 2)7m
6 readings
Welcome to Exploratory Data Analysis10m
Syllabus10m
Pre-Course Survey10m
Exploratory Data Analysis with R Book10m
The Art of Data Science10m
Practical R Exercises in swirl Part 110m
1 practice exercise
Week 1 Quiz20m
Week
2
17 hours to complete

Week 2

7 videos (Total 61 min), 1 reading, 6 quizzes
7 videos
Lattice Plotting System (part 2)6m
ggplot2 (part 1)6m
ggplot2 (part 2)13m
ggplot2 (part 3)9m
ggplot2 (part 4)10m
ggplot2 (part 5)8m
1 reading
Practical R Exercises in swirl Part 210m
1 practice exercise
Week 2 Quiz20m
Week
3
13 hours to complete

Week 3

12 videos (Total 77 min), 1 reading, 4 quizzes
12 videos
Hierarchical Clustering (part 2)5m
Hierarchical Clustering (part 3)7m
K-Means Clustering (part 1)5m
K-Means Clustering (part 2)4m
Dimension Reduction (part 1)7m
Dimension Reduction (part 2)9m
Dimension Reduction (part 3)6m
Working with Color in R Plots (part 1)4m
Working with Color in R Plots (part 2)7m
Working with Color in R Plots (part 3)6m
Working with Color in R Plots (part 4)3m
1 reading
Practical R Exercises in swirl Part 310m
Week
4
6 hours to complete

Week 4

2 videos (Total 55 min), 2 readings, 2 quizzes
2 videos
Air Pollution Case Study40m
2 readings
Practical R Exercises in swirl Part 410m
Post-Course Survey10m
4.7
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Top reviews from Exploratory Data Analysis

By CCJul 29th 2016

This is the second course I have taken from Roger Peng and both were outstanding. I have a strong math background, but not much of a background in stats, but this course was very approachable for me.

By YSep 24th 2017

Very good course! It provide me the foundation in learning how to plot and interpret data. This will definitely strengthen my "R programming" to generate publication type figure for my genomics data!

Instructors

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Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

About 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....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.