Statistics in R - The R Language for Statistical Analysis (Udemy.com)

I was expecting to have access to the dataset used in the tutorial, along with more detailed information about each test. For instance, examples for each variable would be helpful, or guidance on how to install the necessary packages. Additionally, I have a suggestion: it would be beneficial if the teacher wrote the code simultaneously instead of just running it.

Presentation is bit boring. Also, some of the things are already known but most importantly the presentation style might be made little better. However, hoping for better contents in the upcoming videos.

This is a very good course on introduction to statistics in R. It doesn't explain the core statistical concepts of what is and why is ( in core statistics ) but clearly explains its significance and usage in R programming.Also the meaning of the output are clearly explained. Its a must have course to added to your courses in you are trying to put R , machine learning and statistics together.

This covers a lot of information - to make it easier to understand, the instructor could give examples of when you would use the tests. Eg. invent a hypothesis and use the test to show how you'd come to a conclusion. It's quite hard to follow when you only use the tests in abstract. However, great range of content.

Presenting different topics but doesn't have much quiz/work which we can use to practice with. Few exercises to practice with which we can do on the side. Doesn't go in to great detail on when/why to use certain test. Just teaches the tip and the rest is up to us to dig deeper which isn't a big deal.

Great to see the various function calls used in r, but explaining some of the details of a regression model in practice could be beefed up—the examples included are a bit rushed—and especially deficient for walking through models beyond the conventional straight linear model.

The instructor does a great job of showing how to get things set up and running in R. I took an R course on Coursera and came here looking for a real tutorial where you could see someone type things into R. This class is excellent, I learned how to actually do things in R.

1 month ago, I had never used R. I have statistics knowledge, so I wanted to learn a new tool to perform analysis with. I took R Basics as my first course and enjoyed it so much that I decided try R Statistics. Both courses are unbelievably well organized, and all of the videos flow seamlessly and logically from one topic to the next topic. The instructor is very clear and gives great explanations, so I never felt overwhelmed. Not to mention, the course covers a lot of very important and useful analytical techniques. By the end, I was confident enough to upload my own datasets and start working on them. I'm strongly considering taking R Level 1 next to continue to build my foundation.

The four courses viz., R Basics, R Level 1, Statistics in R and Graphics in R together form a comprehensive set of courses on R. Structured, logical and systematic approach provides the confidence that the learner desires very quickly. Statistics in R is very unique course not found elsewhere. Graphics in R provides overall and almost complete picture of various plotting packages in R and their relative significance. Good way to learn R. Martin, thanks a lot for creating these courses.

The course was good and well designed. It is clear on the instructions and lets you develop some sense of knowledge of R. After the course, you can feel more confident on doing your own code and working with your own databases. The only problem I found was that the course does not emphasize better the circumstances, assumptions in which each tool should be used. I am familiarized with all the materials, I am just learning to do it with R and remembering some old concepts. But for someone who is not familiarized with the concepts, some tests might not be clear. Maybe a link to some of the theory would satisfy this minor inconvenience for those who need it. Overall, it was worth the investment.