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.

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.

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

NA

The content of this course was poorly structured and presented alongside commentary from an odd assortment of "experts." As someone with expertise in a technical field, I found the excessive number of definitions, classifications, and tools/software overwhelming, even for an experienced learner. Expecting a beginner to absorb all of this information at once seems highly unrealistic. As a college professor, I can confidently say that this is not an effective way to introduce foundational concepts to those new to the field. I was also not impressed with the brief introduction of statistical concepts, some of the terms were being used incorrectly. Additionally, the course had a distinct business-oriented focus, giving the impression that the primary goal was making more money, rather than genuine understanding. This approach diminished the joy of learning and made the material feel disconnected from the broader purpose of education. Very disappointed.

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?

I'm not sure why this specialization still appears when I have canceled this subscription and the cancel option no longer appears in the upper right-hand corner. I do not want to be charged for all courses I tried during the trial period. Why the hell you all don't have a direct number to customer service?

Requires an irritating, and in my case fruitless, ID verification that simply didn't work. I eventually gave up. This course is very superficial anyway; just videos of very basic concepts and a "peer reviewed" test. Not recommended.

hello,

I am very mad with registering accounts ibm.

I paid 40$ each month. The course lasts 11 months, and I have only 1 month trial permission.

Do not mention promotion codes. I interupted when I used it.

Bad experiences.

Too long videos

Questions at the end of the course are not very connected to the content of the videos

the course answer selection criteri is faulty

I have not received the certificate on the completion of the course - Introduction to data analytics. Kindly help me out with this issue.

i've taken IBM Data Analyst Professional Certificate and came to a conclusion it iwas better to learn from free-available materials.

Includes incredibly irrelevant questions of type what did person X say in video Y. Does not actually test knowledge on the topic

I was hoping to gain experience practicing data analysis. This course focused on various type of data analysis and key phrases.