Swirl practice in for Getting and Cleaning Data in this class is terrible. Most of my code working fine in R and R studio but Swirl would tell me "That's not the answer I'm looking for, try again" Then I type "skip()" Swirl will give me the exact answers that I just typed earlier.

There is a huge disconnect with the material and the HAR dataset exercise. I would suggest that there is some help with smaller exercises to help explain how to complete it. Yes, I know you're supposed to do research to help figure out problems, and I have. As a matter of fact, I have taken other courses on data wrangling to be able to figure out this problem. Merging two datasets makes this problem very confusing. Why can't you help guide students through a similar problem, instead of throwing to the fire?

There's too much of a jump from the theory to the practice. I had a difficult time understanding what was being asked of me.

The course is good but the only problem is there is no explanation on how to solve different problems. there should be a live example of problems so people who have some trouble can get through

The material in this course is very condensed. Data Table lecture was very much a copy of someone else' information on the web and was so terse, I would imagine even people from programming backgrounds had had to listen to it many times just to understand what was going . Expect to put in good 8-10 hours a week into this course if you want to become proficient in course' material.

The course content as well as the assessments are very good. I would recommend this course for everyone who wants to learn Data science

It needs an update on some libraries.

I find it very challenging and I learned a lot.

Excellent course. I've already used some of the techniques learned here. It's very applicable to those in o

Supperb. Exactly what I needed.

Nice course to understand the deep insight in understanding the concept of the data cleaning in R.

I think the course in general is really good. The videos are very useful and although the subjects are not that intuitive, I find the materials very clear. The only negative point I can find is the fact that the quizzes are much harder than the final project and a bit to complicated!

Good to play with R for making tidy data.

The project/assignment sometimes is not too clear on what to do.

The class could have better uniformity.

Overall very good but the class does not teach enough to make the course work easy to figure out.

Very useful for every day data arrangements and data downloads from Internet.

Too much outdated content.

the project is good!

good course

The assignment was quite challenging bu the course overall was very good. The course was structured very well.

A bit tough course with topics of getting the data since I don't know much about file types, but cleaning part is a must do for every data scientist. dplyr and tidyverse is the base of R and nowadays I only use dplyr for my data wrangling. Highly recommendable course and specialization.

I really liked this course and believe that my work, although seemingly noob-ish, will get much better as I see others works from the peer review and examples noted in the lessons.

Great course but would benefit of more hands on exercises done by the teacher during the lectures.

This course was very helpful and easy to follow.