When comparing Quick-R: Accessing the Power of R vs Udacity - Data Analysis with R, the Slant community recommends Udacity - Data Analysis with R for most people. In the question“What are the best resources to learn R?” Udacity - Data Analysis with R is ranked 2nd while Quick-R: Accessing the Power of R is ranked 6th. The most important reason people chose Udacity - Data Analysis with R is:
Data Analysis with R is a completely free course for anyone to take.
Ranked in these QuestionsQuestion Ranking
Pros
Pro Free
Everything on the website is for free and it covers quite a lot of what people new to R might want to do at the start. At least if they are interested mainly in statistical analysis (and less in R programming).
Pro Allows for a quick start
With hands-on examples and code snippets it allows people to get started quickly.
Pro Good reference for transition from other statistical software
If people know the basics or come from different applications Quick-R is especially helpful, because people that know what they are looking for, will find easy guides on how to do certain things in R.
Pro Free
Data Analysis with R is a completely free course for anyone to take.
Pro Data Analyst nanodegree available
Udacity offers a Data Analyst nanodegree, which teaches R along with other relevant skills (MongoDB, Data Visualization and more).
Pro All courses are self-paced
Courses are always made available which means there is no waiting for the specific course you want to run. You can work through the courses as fast or as slow as you want.
Cons
Con Less helpful for programming
Quick-R is a nice resource if you want to learn quickly how to do basic statistic analysis. However there is little information on programming or basic principles of R as a programming language.
Con Nanodegree is expensive
The specific course is free. However, if you want to take the Nanodegree, the cost is $200/month (estimated to take 9-12 months to complete).