a bit complicated after 3 week onwards

Interesting, and helpful.

Needs to be updated

Not bad by the now

It was good

nice

This is way below my expectation and waste of time.

The instructor just bring out the Airbnb's case study and expect you to be able to analyze your own business while there's nothing in common. Not every company own the same rich data from customer reviews. In fact, business models like Airbnb and some of its peers are one of a kind and if you can relate then congrat. The case is not for me.

The professor's joke about the vegetables and squashes are very bad jokes and becomes very annoying as the class goes one. The numbers are old and should be updated. The content is very light and the application exercises are not very applicable in real life. Peer-reviews are so subjective... But i learned a few things, so not all bad I guess

The course introduction shows that the course is based on data analytics but you need to pass some weeks to get the analytic parts. it doesn't meet my requirements and not the same as was introduced. The contents different from the quiz and every try makes the quiz questions change. That mean I never know what the correct answer was.

the course is great but it was not mentioned at the start that this is a paid course. Also, there is no financial aid available, so I have to drop the course because at the end the certificate is important

I feel like points the instructor talking are not well-organized. It's hard to follow and sometimes it's just full of reading (from what he already wrote down).

The principles I'm sure are highly useful, but it's poorly explained and hard to follow.

Typical university course: low level of practical understanding or usability.

Lecturer was not very clear and made the experience not as easy as it should

Poorly explained. Not at all useful. Only CLV calculation taught well.

I found this course below average. None was interesting in the course,

I dont dowloand my certificate complete please help me

It could have been better with more important topics

last week very bad class no proper explanations

Was expecting more analytics content.

The course content is average.

Difficult to follow.

Honestly speaking I found this course a big waste of time and money, and I don't have a lot of either at the moment. I only completed it because I had felt forced into paying for it to access the content. The course is mainly useful for the week in which Customer Lifetime Value is explained, for example if you run a subscription business or business where repeat purchase is important.

Based on the description, I expected to learn more useful thoughts about how to calculate correlation and causation (e.g. how to calculate correlation of different brand attributes to monitor brand equity). But actually, the course just mentioned to it it’s calculated by some “complex models”

When it mentioned A/B testing I was expecting some tips on successfully doing A/ B tests using current popular marketing tools such as Meta or YouTube. But actually it only talks about setting up test markets; only really relevant to someone working in FMCG (CPG) and I did this already in a sales/ commercial strategy job 20 years ago.

The terminology in the course is confusing and inconsistent with other professors. For example, ex-MIT/LBS professor Mark Ritson does a great mini MBA where he talks about brand positioning and brand architecture (organisation and role of different brands within a company). This professor mixes brand position with brand architecture.

The confusion is further evident in the explications of other terminology (e.g. R-squared and p-value) and this is exacerbated in the quizzes. No explanations are given how to calculate these values.

Occasionally, things are not explained in a logical order, for example, using logarithm numbers before actually saying what they are or how they are calculated. There are some charts where certain columns go unexplained, or even miss titles.

After returning to Coursera after a 5 year gap I’m really disappointed in the quality. It’s definitely possible to do better courses on other platforms these days, without having to filter through so many options.

In the business worlds, we should be updated and of course the courses or books older than 5 years must be remade in order to have sufficient efficiency. Sorry but I found it really basic. Maybe it was a great course at the time but now this type of general information could be found anywhere in the web.

The title does not match with what we call analytics today, with all these big data in marketing and what digital business plans has brought for marketers to be analyzed, perhaps it could be renamed. In my opinion the course in presenting general information about marketing basics but not marketing analytics in 2021.

That portion of CLV in week 3. I don't know how he calculated the 5 years CLV and then how he wrongly derives the formula of CLV for credit users. He himself told in the video that he is not good in maths, I didn't complete that course after that much confusion.