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
0. Introduction
- 01 - Practice with R programming
- 02 - CoderPad
1. Data Science Basics with R
- 03 - Solution - Subsetting
- 04 - Solution - Join three datasets
- 05 - Solution - Palindrome
- 06 - Solution - Password validator
2. Data Science Concepts with R
- 07 - Solution - Fizz buzz
- 08 - Solution - Create a random door code
- 09 - Solution - Comparing stock price and interest rates
3. Think Like an R Programmer
- 10 - Solution - Play rock, paper, scissors, lizard, spock
- 11 - Solution - Dealing with unexpected data
- 12 - Solution - Find the middle city
Conclusion
- 13 - Next steps