About this Course

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Learner Career Outcomes

38%

started a new career after completing these courses

38%

got a tangible career benefit from this course

15%

got a pay increase or promotion

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)

Skills you will gain

Cluster AnalysisGgplot2R ProgrammingExploratory Data Analysis

Learner Career Outcomes

38%

started a new career after completing these courses

38%

got a tangible career benefit from this course

15%

got a pay increase or promotion

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)

Offered by

Johns Hopkins University logo

Johns Hopkins University

Syllabus - What you will learn from this course

Content RatingThumbs Up94%(10,200 ratings)Info
Week
1

Week 1

20 hours to complete

Week 1

20 hours to complete
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

Week 2

17 hours to complete

Week 2

17 hours to complete
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

Week 3

13 hours to complete

Week 3

13 hours to complete
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

Week 4

6 hours to complete

Week 4

6 hours to complete
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
727 ReviewsChevron Right

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!

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.