Thoroughly enjoyable "journey" for this course. The syllabus was great, very well structured, thus easy to follow. Each module, including honors, can easily be completed in a day if you have the time.
thoroughly enjoyed the course. A big thanks to Instructor Kevin hartman for this perfectly organized course. Materials were on point and easy to understand. Got entirely new observations on analytics.
par Rishabh G•
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.
par Ivan R•
Quiet interesting presentation of everything, I was impressed at first and graded 5 stars, however, after just one lesson of Prof. Mike Yao in Digital Media and Marketing Strategies I got better understanding of research and data then I got from both courses of Prof. Kevin Hartman. Course is still very good, defiantly worth seeing, but it's lacks in practical explanations so you are kind of still in a fog after it.
par Rujin Z•
leanred the 4 steps in a data project: campaign goal, data collection methods and types of data. Analysis process (descriptive, inferential, exploratory, causal, predictive - most difficult). Better storytelling/visualization skillsets.
Prospect of digital marketing and dangers/concerns of digital marketing.
But overall more practice in analytical mindsets would be even better!! Thank you professor
par Becky R•
I learned much in the Theory course, and was excited to get the DM Analytics in Practice. However, there was no real hands on experience, as I expected to experience. Weeks 1 & 2 were interesting, but the topics in Weeks 3 & 4 felt like filler material- no substance. What a let-down after 5+ weeks of great information. This course should have been called Theory, Part 2.
par Veronica L•
It is good intro of concepts and models for digital analysis. However I do hope to see more in depth knowledge about data, models or even more examples of how to conduct a good marketing analysis. Really wish to see more real business cases/examples of how a professional does marketing analysis using big data.
par Deleted A•
Preface: audited course. Like the Theory course, this Practice course is heavy on referencing articles and blog posts for students to read. The slides are useful however the videos don't add substantially more insight. Course is more about introducing students to the data analysis process. Ok for a beginner.
par Himanshu M•
I was very excited to do this course when I had read about it. But when I actually started to learn, that time I was quite disappointed with this. Because they did not provided more practical examples, and the syllabus was almost repeated . But that's fine it also helped me to learned many things.
par Luca J•
I didn't know much about this topic at the beginning so it was too hard for me to understand. I don't really understand why it is part of the specialization. However the lectures were understandable and nicely explained.
par Vikram A•
Marketing Analytics in theory was much more enriching than this one. It would be great if tutors can add practical examples to show how marketing analytics is actually performed it would have been great.
par Andrew O•
I'd have liked an exercise where you take some dataset from some company and actually apply this. I felt the exercises were a bit easy. This isn't the sort of thing you learn or apply via essay.
par Krisztina F•
Even though the theoretical part was well put together, case study questions were too vague and should have been better thought out. This part of the specialization did not meet my expectation.
par Asfandyar S•
The course material was not detailed. It was way to high level to understand the concepts. As compared to the previous 2 courses in the whole specialization, this needs to be improved.
par Priya V•
In comparison to skills, updated information & value of certification that Google's Academy provides, this is not so good. Information is outdated by atleast 4 years on an average.
par Jennifer B•
This course was a let down. There wasn't enough practical or real world examples to practice with. Good candidates would have been software companies in the SaaS space.
par SHASHWAT G•
The course was fine, but I wanted to see more practical ways like the instructor showed google trends. More tools hands-on should have been discussed.
Overall the course is good however don't have much practical excercise, also personally feel is a bit short for data analytics learning.
par Saumya T•
I was expecting some data analysis techniques as well. Please statistics also such as the use of regression, inferential, etc.
par Devon M•
This is very much a primer. I was hoping it would go into more detail than it did, but I did find it a very helpful overview.
par Shalakha P•
The course is very informative for those interested in data analytic and want to go for market research kind of jobs.
par Pedro C•
Presents a useful analysis framework, but with limited practical examples to learn how to use analytical tools.
This course is very light on actual practical application of analytics. It's more theory than anything.
par Khushkool K•
Good course material. It should focus more on the tools rather than the theory part of it.
par SEDA N D•
This course was a brief intro to digital marketing analytics, not what I expected.
par Gargayee N•
hands on experience based content would have been appreciated, Its a good course.
par Neda H•
not enough practical examples. the information is providede on a bit higher level