R Code Challenges: Data Science
58mIntermediate2024-08-12
Authors

Mark Niemann-Ross
Technologist experienced in hardware, software, and science fiction
Course details
Want to test—and develop—your R data-engineering skills? Join instructor Mark Niemann-Ross in this Code Challenges course as he presents short, bite-sized challenges you can use to practice R programming. Each video is less than four minutes and self-contained, so you can skip around and watch the videos in any order. Mark shares his solutions for every problem, most of which contain fewer than 10 lines of code. Whether you’re a new programmer looking to practice, or an experienced developer who wants to work on some challenges, this short course will give you a chance to sharpen your skills.
Skills covered
RStatisticsData Science FoundationsProgramming LanguagesData ScienceOpen SourceSoftware DevelopmentOne-Off
Concepts
Introduction
- Practice with R programming
- CoderPad
Data Science Basics with R
- Solution - Subsetting
- Solution - Join three datasets
- Solution - Palindrome
- Solution - Password validator
Data Science Concepts with R
- Solution - Fizz buzz
- Solution - Create a random door code
- Solution - Comparing stock price and interest rates
Think Like an R Programmer
- Solution - Play rock, paper, scissors, lizard, spock
- Solution - Dealing with unexpected data
- Solution - Find the middle city
Conclusion
- Next steps