- R Programming
- Data Visualization (DataViz)
- Object-Oriented Programming (OOP)
- Data Manipulation
- Regular Expression (REGEX)
- Logic Programming
- Functional Programming
- Programming Tool
Mastering Software Development in R Specialization
Build better data science tools.. Learn to design software for data tooling, distribute R packages, and build custom visualizations.
What you will learn
Build R packages
Custom data visualization and graphics
Data manipulation and wrangling
Produce and scale data science products
Skills you will gain
About this Specialization
Applied Learning Project
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.
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 5 Courses in this Specialization
The R Programming Environment
Advanced R Programming
Building R Packages
Building Data Visualization Tools
Frequently Asked Questions
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