It looked easy, but it isn't easy for anyone who is new to R programming or programming in general. If one is taking this course as part of an MSDS Degree, please familiarize yourself with some R programming before working on projects.

The class fails to teach most of what it asks for the assignments. In the requirements, only a basic understanding of R was noted, while in reality most of the assignments require you to have an, at least, intermediate understanding of R and how different R libraries work. What's worst is that none is this is really taught, but really it just feels as a very shallow, incomplete, guidethrough of 10% of the whole process. Would not recommend this course for someone who is not following the MSDS degree. You will not learn anything other than opening an R markdown.

A great introduction to Data Science, with plenty of practical assignments that are flexible enough to explore our own questions of interest.

Exercises and lectures were hands-on and informative. I enjoyed the practical advice on data science as a profession.

Very practical overview of the field. Does require knowledge of R to do 2 simple projects if you take it for credit.

Good course, with broad overview and several specific discussions from people working in the field. My only issue is that week 3 seems to assume prior experience with R; just a little bit more support ("go here to install R", "here's a quick tutorial on tidyverse") would make it much easier to reach the level necessary for understanding the lectures and project.

G​ood course for exercise R programming, data analysis and communication skills.

got good knowledge of R