great

great

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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.

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.

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.

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.

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.

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.

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.

The course by itself is really interesting and everything is explained nicely.

But the course is apparently recorded in 2019 and as we had a Covid-19 pandemic changing the whole dynamic of Digital Marketing and it is 4 years ago (a lot changes in that period of time anyway) i wished it the content or the lecture videos would be updated to have more recent content and context.

Excelente Curso que contiene los conceptos y las herramientas de estrategias para el mundo digital, ahora se como usar mejor los análisis y los datos para dirigir y mejorar la comunicación en el mundo digital.

Puse 4 estrellas, porque tiene contenido y slides repetidos del curso anterior, creo que no habría necesidad de eso pues el curso es una continuación del anterior.

The course content is very valuable to any digital marketing practitioner, but the reason I am rating it as 4/5 is that there was basically no "In practice" part. All assignments were along the lines of "discuss this," which might be OK to make us think, but analytics is so much about doing I missed having a chunk of data thrown at me to see what I can find.

This was a fairly good course, however I don't feel like I walked away learning much more than I already knew. I think I was expecting some more detailed instruction on how to perform specific analyses, and this course was quite general. The best part was the fourth module that talked about data visualization, which I did actually find super helpful!

This course gives a guide line and an introduction of Marketing Analysis, and illustrates on four parts: plan, collect, analyze and report. It also instructed the right mindset of marketing analysis. But the real technical analysis part out of the scope of this course. Overall, it's a good course for you to get to know about Marketing Analysis.

This course was more specific and actionable than the theory course. It fulfills it's mission well. The readings are excellent. I printed several to use for my own blog and content marketing efforts.

Though competent, the instructor is lackluster, frequently just reading from the slides. The substance is good but the style is dry.

Great course. Like the slides and the way it structured. It could be broader if not so Google centralized and more international. For example in Russia there is Yandex.ru (ya.com) which controls 75% of search market and in China there is Baidu and others and no Google and Facebook. These questions is not highlighted in the course.

Great course with useful tips and organized materials. However, some of the materials (recommended tools, hyperlinks, etc) are outdated so it would be great if they can refresh them. Also, the in-course quizzes are too easy to the point it seemed quite stupid - please include more meaningful questions in the in-video quizzes.

Great course, thorough. I just wish I'd had a little bit more practice in a course that has "In Practice" as part of the title. I also had a student steal my work in the Week 4 written assignment, which was presented to me as theirs. There was not any way of getting in touch with any sort of support.

Overall it was a good course but the only thing I would recommend is relating with the assignments. What I saw in almost all the assignments we should have had experience on the work to do them. But since not everybody has that experience it would be nice to think even for beginners as well.

It's an interesting course, and Prof. Hartman again uses a clear and distingt language. Yet I expected a little bit more practice here in sense of creation of simple visualizations using R or being confronted with data visualizations and deciding what could be done better here.