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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!
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RProgramming52 hours

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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

  • Course

    1

    Introduction to R

    Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

  • Course

    2

    Intermediate R

    Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

  • Course

    3

    Introduction to the Tidyverse

    Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

  • Project

    bonus

    Analyze the Popularity of Programming Languages

    Analyze the popularity of programming languages over time based on Stack Overflow data.

  • Course

    7

    Writing Efficient R Code

    Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

  • Course

    9

    Parallel Programming in R

    Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

  • Course

    10

    Introduction to Shell

    The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

  • Course

    11

    Developing R Packages

    Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

  • Course

    14

    Introduction to Git

    Discover the fundamentals of Git for version control in your software and data projects.

  • Course

    15

    Intermediate Git

    Discover branches and remote repos for version control in collaborative software and data projects using Git!

R Developer
14 Courses
Track
Complete

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Included withPremium or Teams

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