This was the first course I took since I started thinking about analytics and R. A fellow Data Scientist recommended it to me. I was bit surprised when I saw the level as Intermediate still decided to pursue. Duration of the course is 2 months and that's what it took me to complete it with 2-3 hours a day.
About the course -
If you are new to R, it will not teach you the ABC of it, but believe me I never felt the need of it though the only programming language I knew was COBOL. It is a primarily an analytics course and gets one well versed with the Data Analytics concepts and uses R as a tool to do that. The name it apt - Exploratory Data Analysis "using R"! The questions are interesting, having "no right or wrong answer" (as they keep saying :), and will make you think.
1. The course directly takes you to the next level of R without knowing much about it and you learn it well. After completing his course, I took the Coursera's R programming to learn the basics of the language. The basic difference was Coursera course is to be an R programmer while Udacity's course revolves around Data analytics, playing with data, visualization, a bit of statistics.
2. Plots and visualizations was never so much of fun. Few days after this course, I read somewhere that teaching R should be started with ggplot and I very much agree.
3. The course is self-paced, has tiny modules and heap of quizzes in between which really helps understand the concepts.
I've become a fan of Udacity and have done multiple course around statistics after this.