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 David F•
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par Hannah F•
It would be helpful if the reading materials had recommended chapters from the textbook that we were asked to download. While it it helpful to have the text book the course is entirely passable without the use of the text, what I caused for me is heavy reliance on the videos and recommended reading material because it consumed less time but then I still feel that there is a bit more I could have learnt. So I suggest using chapters from the recommended text book as well to broaden the knowledge of students who are quite new to Digital Analytics like myself.
par Lachlan B•
This provided a very good framework for marketing analytics. Not intended to be a deep dive into R programming or statistical theory, but if you have such abilities already or are willing to invest into the deeper study of these and related skills then again, this provides a great framework within which to apply such skills. If you already have relevant technical/analytical skills then this will really help you, as the course title says, put them into practice in a professional setting.
par Harolyn A•
I was interested on Analytics, but not that much because I have my tendency to be atracted to creativity, and I used to think that were two different worlds. Thanks to this course now I enjoy even planning a research, but obiously more creating the report.
The professor is clear, and the lectures and offered reading are pretty usefull, it does not matter what you work.
You will enjoy it and can take a lot of advantage, specially improving your reports.
par alfonso b•
A much better course than the previous. Material is well selected, but extremely wide in contents. It is difficult to cover most concepts given because a lot more appears through the course comments.
There is even an R and Tableau use and demonstration in middle of Lesson 6, but it should be programmed, So that we can follow it in our computers, until now I have downloaded all R packages but is impossible to understand why I had done that.
par Gustavo S d S•
Valuable course for those who want to know more about Digital Marketing and data analysis, webscraping and related subjects.
However the course just presents the steps you need to take, in order to accomplish your results, actually it doesn't show you how to retrieve data using RStudio, Tableau or any other data analysis software, so it is a "Theoretical Practice" and it's recommended that you have some background on Digital Marketing.
par Judith V•
Very informative and helpful class with some great resources referenced that I will definitely go back to often. I think some of the supplemental reading should be listed as required. As this was my first Coursera class it took me a bit of time to understand the peer-review component of the assignments, which required a bit of nudging to get complete. Overall, a good class and will be a great help in my next career role.
par Karen H•
I preferred the third course that emphasized practical application in the specialization over the second course that was mostly theory. The assignments were geared to engage your insights / ideas about what you know and/or are learning about real-life projects. Although it still only scratches the surface, I liked the ability to apply some of the assignments to a company with which I've been working.