Mastering Software Development in R

Build the Tools for Better Data Science

Learn to design software for data tooling, distribute R packages, and build custom visualizations

About This Specialization

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 useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will 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.

Created by:

5 courses

Follow the suggested order or choose your own.

Projects

Designed to help you practice and apply the skills you learn.

Certificates

Highlight your new skills on your resume or LinkedIn.

Projects Overview

In each of the courses, learners will deploy their newly acquired advanced R language skills to manipulate complex datasets, write powerful functions, create a new R package, and develop new visualization tools for building custom data graphics. These projects will result in a portfolio of R code that can be reused and built upon for deployment in the real world.

Courses

Beginner Specialization.: No prior experience required.

COURSE 1
The R Programming Environment
Current session: Oct 16
Subtitles
English
About the Course
This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a comm
You can choose to take this course only. Learn more.
COURSE 2
Advanced R Programming
Current session: Oct 16
Subtitles
English, Chinese (Simplified)
About the Course
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profi
You can choose to take this course only. Learn more.
COURSE 3
Building R Packages
Current session: Oct 16
Subtitles
English
About the Course
Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provide
You can choose to take this course only. Learn more.
COURSE 4
Building Data Visualization Tools
Current session: Oct 16
Commitment
4 weeks, 2 hours per week
Subtitles
English
About the Course
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 conclusi
You can choose to take this course only. Learn more.
COURSE 5
Mastering Software Development in R Capstone
Upcoming session: Dec 4
Subtitles
English
About the Capstone Project
R
You can choose to take this course only. Learn more.

Creators

Johns Hopkins University is recognized as a destination for excellent, ambitious scholars and a world leader in teaching and research. 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.
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.

Roger D. Peng, PhD
Associate Professor, Biostatistics
Brooke Anderson
Assistant Professor, Environmental & Radiological Health Sciences

FAQs

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