I love the content. His demonstration is excellent. However, I think the way the professor explains some information is quite difficult to understand. In the first week, he is not very fluent in speaking (he stutters sometimes). Maybe he should include some case studies so the knowledge can be put into practice.

I took Marketing in the Digital World before this course. Prof Rindfleisch's way of teaching has more energy and enthusiasm which makes his course even more fascinating. This is just a personal point of view...

It was a very interesting course that provided me with ideas, tools, frameworks, processes to start with digital marketing analysis. I found it though a bit disappointing from the university of Illinois that diligent scientific writing is not required at all. What would be great is if there was a guideline what the minimum criteria for the assignments should look like (word count, citation/references, etc.) - people sometimes just wrote 2 sentences which is really annoying.

This is a very good basic course for understanding the theory behind marketing analytics. The only thing I would suggest to change is the grading of the last peer assignment. I would have liked some feedback also from the teacher, since the grading from the others who attend the course varies. An "excellent" as a feedback feels great, but without no constructive critisism or follow up question (as described in the grading instructions) it feels a "little to easy to pass".

I do not understand that even after completing the entire 6 courses i Specialization, I am unable to access the Capstone. And there is no help available at all.

Rest of the things are good in the course. Excellent faculty and material.

Suggestion: we should add as an activity- A blog/article writing to be published on Coursera page.

Hands-on analytics exercise is must for a set of data pool. You may also include google analytics data class.

I know it is specified at the beginning of this course, but for people who don't know anything about the different tools and terms, or are not acquainted to them, it is slower to understand a lot of the concepts which are mentioned, and briefly explained. However, this course was an excellent start for me on marketing analytics, and I am now more willing to learn more about all these techniques mentioned in the course. Thank you

I really like the course. I found the information helpful. However, I work in the Marketing department, and even though the course covers a lot of ground, I would have loved to have more information with particular examples and study cases similar to those in the previous module. I also find that the course was too focused on theory and less in practice. A bit more of a balance there would make this a 5 star class.

I enjoyed the course. Instruction delivery was smooth.

Some of the readings were not very recent (currently 2020, but readings as far back as 2008 or so) but maybe some of the essential principles still apply. It's also good to learn about how the field/study of marketing analytics has changed over the years.

Overall, will recommend this course, it helped me gain a foundational understanding.

Very good instructor and good structure and pace to the class. Would have liked more real-life examples, and would have liked peer review questions that required more thought and strategy behind them. "Which channel do you like more" isn't really that intriguing a question. Instead, a different question could have been "How might you leverage each channel for different purposes?"

I liked this class. I have mixed feelings about this course not using due dates. On the one hand it's stress-free because I'm not penalized if I don't finish the assignment in a timely fashion. But at the same time, I'm less motivated to complete everything. Luckily I am a completionist so I did everything I needed to complete the class. But I can't say the same for everyone...

Really interesting. I´m probably not your regular kind of student, I´m 46 years old and I´ve being working in marketing and advertising for the las 22 years. Many of this concepts were developed while I was already working and it was very useful for me to understand the theory behind these tools. I enjoy every lecture. Thank you very much!

Prof. Hartman's approach was easy to follow and understand. I enjoyed learning about the historical context of data analytics, and understanding more digital marketing terminology and tools. It's been helpful in my role as a social media marketer for a small business. I'm looking forward to the next course in the specialization.

I felt that the information in this course was very helpful, but that the modules were a little redundant. It seemed that 2 weeks of material was stretched into 4 so that Theory could be one course and Practice could be another. I am in the midst of Practice now, so my opinion may change and this may not be a fair assessment.

The course was very informative and exposed me to modern ways of marketing. I learnt how to set metrics for the different ways information is presented on the internet. I learnt about how there are three moments of truth when a consumer decides to make a buy decision. I particularly appreciated the ZERO moment of truth.

I will give 4 stars for the course. The materials are quite old but for some reasons, they are still useful. On the other hand, I prefer the first professor from digital marketing instead of this one. Kevin is good but too many theory and lack of practice and example that I always lost myself during the course.

this course helped me understand many basic but important concepts and theories in digital marketing, it is good for beginners to have an overall understanding of this field. but the peer evaluation seems not that useful, and sometimes i have to wait long for more submissions I think that is a waste of time.

Very good high level description of analytics theory. I don't think you miss anything.

Subject is huge and I think, as a student, sometimes it is quite difficult to digest very quickly a lot of information.

I suggest to do this course and after take a while to review few key points in order to fix them better.

Very good and practical course, the lectures are very pertinent to current marketing trends and tools. It is for beginners so should prove to be useful for anyone who wants to get to know basic application of digital analytics, those engaged professionally in the field should opt for a higher level course.

Love! this course. Thank you so much to Kevin Hartman and the Coursera Team for pulling together what is obviously a wealth of information into manageable and palatable course. The written assignment really got me thinking about the analyst's role "making it happen" in marketing analytics. Thanks again.

Course was informative but >90% of the time spent on the course was spent on the readings. Being someone who learns well from lectures I was hoping for significantly more lecture content (several hours of week) with less reading, I was a bit disappointed by the short lengths of the lecture videos.

The information in the class was good. I really liked having the slides for the modules in each reading section. I was able to review the slides and then do each module. For me, it was easier to learn the material. The one thing I would have liked would have been more hands on exercises.

The course is great however it misses the practical case studies to do the whole process, but that is covered the final capstone of the specialization track.

Another point that I was interested in is the market research in the digital world such as, demand, market fit, market niche...

This course delivered a lot of good, practical information on how to work with digital analytics to improve customer content, engage with customers and potential customers, and use quantifiable data for decision making. Take it to improve your understanding of digital analytics.

Very good course. Interesting content, great suggested readings, very good instructor, and well explained lectures. I have no previous knowledge about the subject and I have learnt a lot about Marketing Analytics in both course Marketing Analytics in Theory and In Practice.

Could improve on the efficiency of the graduation process as some students may do this course in face pace and some may not. Therefore, this would slow down those who are face pace because in order to graduate you must review 5 classmates assignments. Please look into this.

Upside - I like the peer assignments, first being able to think about the topic yourself and write down your thoughts and then be able to read the thoughts of others - very insightful.

Downside - A bit too much complementary reading that more or less covers the same topic.