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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.先决条件
本课程没有先决条件。Course
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
Course
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
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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.
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Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Project
Analyze the popularity of programming languages over time based on Stack Overflow data.
Course
Take your R skills up a notch by learning to write efficient, reusable functions.
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Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
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Learn to easily summarize and manipulate lists using the purrr package.
Course
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
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The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
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Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
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Learn defensive programming in R to make your code more robust.
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Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
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Discover the fundamentals of Git for version control in your software and data projects.
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Discover branches and remote repos for version control in collaborative software and data projects using Git!
Skill Assessment