Mastering Software Development in R
Master R programming tools for data science. Learn package creation, visualization, and software best practices.
Master R programming tools for data science. Learn package creation, visualization, and software best practices.
This comprehensive specialization covers advanced R software development for building data science tools. Students learn essential skills including R package development, data manipulation with tidyverse, custom data visualization with ggplot2, and modern software development practices. The program focuses on producing reusable, modular code suitable for team environments and developer communities. Perfect for both data analysts seeking fundamental software skills and data scientists wanting to scale their R programming expertise.
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What you'll learn
Build and distribute R packages following community standards, create custom data visualizations using ggplot2, develop robust and reusable data science tools, master data manipulation using tidyverse, implement object-oriented programming in R, create production-ready data science solutions, design modular and scalable code for team environments.
Skills you'll gain
This course includes:
77 Hours PreRecorded video
Applied Learning Projects in each course
Access on Mobile, Desktop
FullTime access
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There are 5 courses in this program
The R Programming Environment
Course 1 · 27 Hours to complete · 7 modules
Advanced R Programming
Course 2 · 18 Hours to complete · 7 modules
Building R Packages
Course 3 · 20 Hours to complete · 4 modules
Building Data Visualization Tools
Course 4 · 12 Hours to complete · 5 modules
Mastering Software Development in R Capstone
Course 5 · 3 Hours to complete · 6 modules
Fee Structure
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