When comparing **Udacity - Data Analysis with R** vs **Quick-R: Accessing the Power of 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 8th. 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

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.

### 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.

#### Cons

### 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).

### 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.