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Track

R Developer

Gain the career-building skills you need to succeed as an R Developer by learning to write and package code efficiently. No coding experience needed!

  • R
  • Programming
  • 52 hr
  • 4,772

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Track Description

R Developer

Become an R Developer: Master Efficient Coding and Packaging

Start your journey to becoming a skilled R Developer, even with no prior coding experience. In this Track, you'll gain the essential skills to write efficient R code, automate tasks, and package your scripts for easy sharing and collaboration.

Build a Strong Foundation in R Programming

Start by mastering the fundamentals of R, including:
  • Key data structures like numbers, strings, factors, Booleans, dates, and times
  • Control structures such as conditional statements and loops for processing data and performing calculations
  • Writing modular and reusable functions using best practices
  • Object-oriented programming techniques for managing complex codebases

Optimize Your Code for Performance and Efficiency

Take your R skills to the next level by learning how to benchmark your code to identify performance bottlenecks and improve resource-intensive operations. You'll explore parallel processing using powerful libraries like parallel, purrr, and foreach, enabling more efficient computation. By mastering these techniques, you'll write faster, more optimized R code capable of handling large datasets with ease.

Master the Art of Packaging and Collaboration

As an R Developer, you'll need to share your code and collaborate with others. In this Track, you'll learn how to:
  • Package your code using industry-standard tools like devtools, roxygen2, and testthat
  • Document your code for easy understanding and maintenance
  • Use version control with Git to manage codebases safely and efficiently
  • Contribute to open-source projects and work with other developers

Why Become an R Developer?

R is a highly sought-after skill in today's data-driven world. By completing this Track, you'll be able to automate repetitive tasks and streamline data analysis workflows, develop robust and maintainable R packages, and collaborate effectively with data scientists, analysts, and developers. These skills will help you advance your career in fields such as data analysis, business intelligence, and research.Whether you're an aspiring R programmer or looking to enhance your existing skills, this Track provides a comprehensive path to becoming a confident and competent R Developer.

Prerequisites

There are no prerequisites for this track

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