Mastering R: Best Practices and Essential Tools

Learn best practices in R, version control with Git and GitHub, functional programming, and reproducible environments

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Mastering R: Best Practices and Essential Tools

Mastering R: Best Practices and Essential Tools udemy course free download

Learn best practices in R, version control with Git and GitHub, functional programming, and reproducible environments

Welcome to Mastering R: Best Practices and Essential Tools!

In this course, we aim to address a significant gap in the market by equipping R users with the knowledge and skills needed to implement best practices. You will learn how to organize your projects effectively, adhere to the highest coding standards, and utilize a suite of powerful tools that will enhance your productivity and collaboration.

Our focus will be on providing you with practical, everyday techniques that streamline your workflow and make your code robust and shareable. By the end of this course, you'll be able to avoid the common pitfall of "this script works only on my machine" and ensure your projects are reproducible and portable.

Course Content:

Section 01: Introduction to the course

Section 02: Rstudio IDE

  • Setting up and navigating RStudio for an optimized coding environment.

  • Essential shortcuts and tips

Section 03: Best coding practices

  • Learn to write clean, efficient and maintainable R code

Section 04: Version control with Git and GitHub - Configuration

  • Installation and setup of Git and GitHub

  • Generate 2 Factor Authentication

Section 05: Version control with Git and GitHub - Working with repositories

  • Managing your code changes and collaborating with others using Git and GitHub

  • Learn different ways of creating and cloning repositories

  • Understand how privacy works

  • Git workflow

Section 06: A real project

  • Implement the previous learning in a real-world project

Section 07: Introduction to functional programming

  • Learn what functional programming is

  • Create basic and advanded functions

  • Iteration

Section 08: Functional programming in our real project

  • Change our real-world project to a project based in functional programming

Section 09: Reproducible environments

  • Creating reproducible R environments to ensure consistent project dependencies

Course Details:

  • Duration: Approximately 9 hours

  • Lessons: Over 100 lessons

Join us on this journey to mastering R, and take your coding skills to the next level!

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