When comparing Coursera - R Programming 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 Coursera - R Programming is ranked 5th. 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.
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Pros
Pro Hands on approach to learning
This course uses videos, quizzes and programming assignments to teach the material.
Pro Free to take
The course is available for free (however if you want a certificate, the cost is $61).
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 Course is not always available
The course cannot be taken at any time as sessions only run on certain dates. You can check the schedule here.
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).