R Code Challenges: Data Science

R Code Challenges: Data Science

58mIntermediate2024-08-12

Authors

Mark Niemann-Ross

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
40,000 Toman