4 Stars

génial

nice

Ok

.

I greatly appreciate the time taken to create this course. I did not feel it was relevant to Data Analytics. This course was heavily-focused on the technology used for data analytics, not even the software, like SQL. It kept focusing on what technology data analysts use and would go into painful detail and redundancy about basic terms you don't need to use, like data marts. I've had an internship before in data analytics. They're not IT people. They get a software, learn how to use it, and the rest is about excel and math. I was unclear why this course spent so much time going over the what a data warehouse is, for example. I felt like I was being trained more on how to shop for data analysts or how to be a database administrator instead of a analyst. The course was too redundant for me and felt irrelevant.

Very rote learning focused - was essentially an exercise in memorisation. The interviews with data professionals were good as it broke up the monotone voiceover a bit. Would have been much more valuable if I'd had a chance to actually use some of the data skills on a sample data set or saw this happening in action through a recorded video that brought it to life. I found the information about the different types of apps and software packages (e.g. IBM Watson, SSPS, Tableau etc) to be particularly difficult to absorb - without having ever seen any of these in action, it's difficult to understand their differences and how they're used. Just providing a logo and some dot points about them did not help me to differentiate one from the other or understand their usability.

basic information for data analyst. If you are already familiar with programming such as SQL, Python etc. then this first intro course will be a breeze. All it is is just videos then a quiz. No programming or anything. It is broken into 5 "weeks" but each week can be done in less than an hour if you already know the basics.

To be honest, this course was not what I was expecting. For sure this course has been designed for beginners and it will give you very basic idea about data analysis. I was expecting this course to be more practical.

too boring, very broad course covering definitions and listing the jargoon used in this field. Lacks any real hands on experience on the subject.

First to notice was sound quality was poor. Find bug and it was really anoying. Overal not great.

Cannot find an instructor when your peer-reviewed submission is graded incorrectly

Je souhaiterais que le cours soit bien détaillé

just the introduction and tools awareness

need more examples or case study.

Somewhat boring.

Too much talking

Too water down

Waste of time.

Bad course

nice

good

The Quiz - When answering a question incorrectly and viewing feed back, the feed back is simply, no that is not the correct answer, Well no, really..... wow. That's not really feed back. the feed back on an answer cant be that the answer was incorrect, the feedback does not need to be the correct answer, but when some or all of the answers seem similar, the feed back should be more directional and the incorrect answer should be explained on where that answer would be correct

Example - (paraphrasing) What are you seeking answers to at the first step in the data analysis process, A, the best tools, B, where you are and where you need to be, C, what will be measured, D, what data you need.

all of these answers sound similar and in a real life situation, I would never say the first step is to know where I am and where I need to be. I do data Analysis for a living and all these answers except the correct one, to me, is the fist step. and the correct answer sound more like a meditation chant used to find your self.

I will try to continue this course but I am very disappointed with the feedback, and the perception of similar or best fix to, answers

Awful because of the peer-reviewed assignments. This shouldn't be a thing because markers (even though they're given a rubric and told not to be harsh) are harsh and make this whole learning process uninteresting and unnecessary because you can fail even if you're right. Just because they didn't understand it or I didn't word it in the way they wanted (it's in the way the rubric's stated and because of the rubric, I know I'm right), I get marked down for it. Unbelievable. Most likely won't be continuing this course on Coursera because what's the point if I'm going to be marked down by lazy peers and not given constructive feedback by actual teachers?