Great course :)

greate cource

good content.

good course

nice course

excelleant

Very nice!

Great Job!

Excellent

excellent

Too easy

good job

good

Good

GOOD

good

good

good

Good

.

I have mixed feeling about this course. I think the purpose of this course (visualizing data) and the different ways of doing it is really motivating and awesome, specially when you realize all the things you can do (types of charts , maps etc...). This is actually awesome!

However, on the down sides:

-Each video repeats the steps on how the database used in each course has been "cleaned". I agree with the feedback from other people, reminding us one or two times is fine, but in each video... This is too much!

-I would have liked more practical exercises, specially to plot multiple linear regression models (and polynomial of different degrees, in particular), to display on a chart, and to make predictions. That would be great !

-Labs: they are of unequal difficulty: some are relatively easy to complete, some require more thinking/research and time, while some have no question at all or very little. Maybe it would be useful to re-organize the labs ?...

-Week 3: as everyone mentions, the "artist layer" method is only briefly covered in one of the lab. It would have be really useful to spend more time on it, and on all the things we do with it. Like others, I spent lot of time searching online, and it took me a full afternoon to complete that part of the final assignment !

To summarize: it's a very important and interesting course, but video lessons should be re-recorded with deleting all parts repeating the initial database processing, and adding more topics such as artist layers, etc. Also, maybe split each lab in 2 since there are few labs in this course, but if we follow them correctly, it requires quite few hours to spend on each lab (at least for "beginners" like us starting learning about this topic).

Thank You !

This is an alright course, I wouldn't consider it a bad course. I might be too harsh on the ranking there giving it 3 stars, but there are room for improvements, mainly on week 4.

One of which the lab instructions should be more clear on what to do, I've seen many people have complaints on the labs, primarily on the introduction to dash. This lab specifically has done a subpar job on explaining what to do in my opinion. The lab doesn't make it clear enough that you need to read the instructions before doing anything. If memory serves me right, it is there, but was emphasized enough if that makes any sense. Maybe it isn't that much of a big deal. Anyways, after you got through that one lab, you shouldn't have a hard time with this course.

For the forum replies to the problems that the learners were facing, I don't think it's been all that helpful, no offence to the staffs/mods, but the responses/replies seem rather too vague for confused learners which makes the learners to ask more questions, especially from the Dash introduction lab/Theia Lab in week 4.

I find the videos are great on explaining the tools for data visualization, the quizzes are also good as well.

Anyways, again not a bad course. If anything, it's a decent course.

The structure of the course, and topic choice, are great. I have learned a lot in this course. However, the course could benefit from a real person reading the info, or at least a more pleasant robot voice. The course uses a lot of new code that was not covered in previous courses (I'm doing Data Science specialisation, and usually the code builded on the previous knowledge). Moreover, the course is unbalanced, and there is not enough time to practice building dashboards before you try and build one yourself for the finals. And the thing with dashboards is that they work only if you execute the code perfectly with is hardly ever the case. I am extremely motivated, studying every day, always rewriting the code by hand into the textbook, and have received 100% grade for every one of previous 7 courses. And yet, when I was doing the final assignment, it took me five days of studying for 4 hours each, of coding and reading Dash documentation before everything worked as it should, and I wanted to quit many times. I later discovered that lots of other students struggle with this course too.

The rating of 3 is because there are some excellent points to this course and some issues. First, no doubting the Instructor knows his stuff and he has a good style, but for EVERY lesson to repeatedly go over the details of the data set used (and you can tell this is one clip pasted in every lesson) is mind numbing. Cover the data set once and then simply say "We will use our Canadian Immigration Data set, refer back to it if you have question" . Then use this time to go into a bit more detail on the graph mechanics. Secondly, there is no lab environment for the final assignment (as was provided in precious courses of the Data Science module). This overly complicates the assingment beyond the material being tested (I was bangin my head as to why I could not get a graph working until I realized it was the lack of an environmnet variable, not my code, that was causing the issue.

The course itself was good.

Unfortunatly it was not clear at the beginning, that the "Data Analysis Module" is a pre-requisite. After struggling with the lab of week 3, I found out and took the Data Analysis Module. I tried the lab again - meanwhile the first part has changed - the file was not in the same structure. So, the code I wrote before was worthless. Took a while to figure this out.

Then in CC Lab the "conda install" did not run - neither in the lesson, nor in the lab - therefore I spent many hours struggling to find this out - didn't know, if it was my coding.

It would be good, to improve those "organisational problems". That's why I only gave 3 of 5 stars. It did cost me a lot of time.

The content and lessons and exercises and the lab itself is very good and interesting. Also the amount and speed, very good to handle besides a full-time job (if everything works ;-) ).