good

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.

I just audited the whole course. I did not learn as much as I expected. It was mostly definitions of key terminology, but since there were not concrete examples with data sets, it sounded awkward. It was mostly ABOUT data analysis rather than teaching how it should be practiced.

I had to google so many words not just because those words were new but also kind of little classy. As an International student it was hard for me to get all of it altogether. I had to repeat all the videos multiple times.

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.

The quizzes all have symbols between each word and there are no resource guides available to download. Inauthentic teaching style, a robot reading glossary definitions.

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.

Very theoretical and lacks practical application

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