This course is part of the Mastering Software Development in R Specialization

4.0
stars
155 ratings

Roger D. Peng, PhD +1 more instructor

12,093 already enrolled

Offered By

Mastering Software Development in R SpecializationJohns Hopkins University

About this Course

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The data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks. We focus on the ggplot2 framework and describe how to use and extend the system to suit the specific needs of your organization or team. Upon completing this course, learners will be able to build the tools needed to visualize a wide variety of data types and will have the fundamentals needed to address new data types as they come about.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Course 4 of 5 in the

Mastering Software Development in R Specialization

Intermediate Level

Approx. 12 hours to complete

English

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Skills you will gain

Mapping
Ggplot2
Data Visualization (DataViz)
R Programming

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 4 of 5 in the

Mastering Software Development in R Specialization

Intermediate Level

Approx. 12 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4/5 (6 Ratings)

Roger D. Peng, PhD

Associate Professor, Biostatistics

Bloomberg School of Public Health

1,500,193 Learners

37 Courses

Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences

Colorado State University

71,935 Learners

5 Courses

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Week1

Week 1

21 minutes to complete

Welcome to Building Data Visualization Tools

21 minutes to complete

1 video (Total 1 min), 2 readings

3 hours to complete

Plotting with ggplot2

3 hours to complete

13 readings

Week2

Week 2

2 hours to complete

Mapping and interactive plots

2 hours to complete

9 readings

Week3

Week 3

2 hours to complete

The grid Package

2 hours to complete

7 readings

Week4

Week 4

6 hours to complete

Building New Graphical Elements

6 hours to complete

12 readings

Reviews

4.0

43 reviews

5 stars
43.22%
4 stars
27.74%
3 stars
16.77%
2 stars
5.80%
1 star
6.45%

TOP REVIEWS FROM BUILDING DATA VISUALIZATION TOOLS

by AGNov 16, 2018

Great course! You'll learn a lot about the graphic capabilities of R. However, I think there are some things that need to be explained before one goes on to complete the final project.

by SBApr 30, 2018

It is a very good course, but feels a bit more hands-off than the other 3 preceding courses in the Mastering Software Development in R certificate.

by SMJun 18, 2021

Great course - learned a lot. Excellent instruction

One downside.. Peer review can be a blocking issue to moving forward. If no one is around to peer review, you wait, and pay while you wait.

by FZJul 31, 2017

very useful, especially the final practical exam.

not 5 score because I think more time should have been spent in more modern interactive charts

View all reviews

About the Mastering Software Development in R Specialization

R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing and scaling useful data science results and products.

This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Building Data Visualization Tools

About this Course

Skills you will gain