It misses an assignment which will allow to practice the clustering skills.

It focus too much on the tools and a little bit on the analysis

faced many technical difficluties in pratcice exerices in swirl

First two weeks are too repetitive with other courses

Interesting stuff, but not a lot of detail

Absolutely No technical help, like insane amounts of homework for each week. People have jobs and businesses to run. Incredibly short duration. Like literally this should have been spread out several more weeks. I would have dropped the class but I can’t. It’s so difficult to get i to the first set of practice assignments and these several sets. Honestly, I am literally getting no help on it and probably won’t pass because I am missing the deadline. I finished 5 coursera courses working on them for 24 none stop. I’ve literally been at this class all day. Besides all the insane amounts of assignments there’s tons of videos to watch and uploads to do. Go buy some books or take another class unless you are unemployed or have nothing better to do.

Just an extended course on using R. There was little strategies for Exploratory Data Analysis, infact the example jumped from a high level view of the data to then start looking at individual counties. There are multiple tools in the market that will deliver in a better and faster way for exploratory data analysis. This course should be more targeted at developing a skill set that is tool agnostic.

Clustering topic is covered superficially, too much time spend on employing ggplot graphs, not very useful since making graphs is straightforward on other software, like excel, once you aggregate datasets correctly. I had not found it very enriching as a course. I would merge this class within R-Programming section and call it Part 2 rather than categorizing into "Exploratory Data Analysis".

Some parts of material is good quality, but some is bad - also some show bad practices in R. Extensively use swirl as assignments over self work. It is better to go through good tutorial over R base plotting system and ggplot2.

The final project did not require use of the material in the course beyond the first week and a half. I did not take any quizzes or otherwise have my knowledge tested on the material in the second half of the course.

Course content and assignments were difficult to follow. Loads of statistical content along with high-level R content means it was probably the toughest of the 4 I have taken so far in the Coursetrack.

some swirl tests (4,5) don't work because of parameter method in qplot function. This parameter is not realy existed in this function now

Quite repetitious in covering basic graphing, and very shallow in regards of clustering, SVD and PCA.

Very unprofessional, compared to other courses. It wasn't well organized.

About plotting in R. Not about generating real insights from EDA.

Too weak regarding the clustering methods, very disappointed.

didnt get much useful-- a whole "course" on plotting? meh.

too superficial

Veyr boring

I can't help but feel lied to. The FAQ for the specialization says the following: "We also suggest a working knowledge of mathematics up to algebra (neither calculus or linear algebra are required). " If no linear algebra background is required, then why do you assume that I know what a singular value decomposition is? Or principal components analysis? Terrible course.

How can you have a course on Graphic Devices and not show one screen shot of a graphic or open R to show how to perform the ideas around this topic?

NEEEEEED TO EDIT MY PEER REVIEW FROM OTHERS

Material is to basic for an entire course.

limited and monotonous explanation