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This course offers an overview of understanding business decision making in the traditional marketing world. This course barely touches digital marketing, and it's a pity, because everything tought here could be better examplified in the digital space. The materials shown here are great, but I had a hard time following the lecturer's explanations and teaching method. I did not care for the jokes, and thought some subjects could have been described better, and have a vast exercise handout. I will say that throughout the course, a lot of good questions are asked. The handouts were not too useful and there were not a lot of directions in regards to practicing.

This course is hands-on though, and assignments are required for its completion. I do feel a bit more confident in understanding how major retail companies get the bigger picture of their marketing efforts.

I did not like, nor saw the point in having us grade other people's work.

I took this course for the wrong reasons and stayed through the end, completing it with an overall grade of %89. I thought I will learn how to analyze and optimize marketing campaigns in a spreadsheet software like Excel.

If you are looking to expand your knowledge with Excel, optimizations, PPC, or digital platforms, this is not the right course. Though the fundamentals taught here correspond to CRO and improving ROI, this course is a lot more theoretical than practical for that matter.

If however, you are looking for the bigger marketing picture such as how to know if a campaign justifies itself, calculating CLV, getting a glimpse of the retail world, and interested in becoming a marketing manager, or a business owner this course is a good fit.

Though I did not like the teaching method and style, I did learn something.

Even though most times a calculator and a piece of paper were enough, I took initiative and used Excel to try and solve nearly every question asked in all quizzes and exams.

I do recommend this course to marketing managers in large companies, entrepreneurs, mathematicians and statisticians with business oriantated minds.

Goodluck!

Good examples for calculations are used. For the peer assignments, I try to adapt the questions to the industry that I'm working in to apply knowledge learnt to real work applications. Some parts may need to be clearer, for example, even if you are not going to go through the formula of R-squared, it will be good to inform the learners how the number originated.However, there is much disappointment in the experience I have gone through when it comes to the peer assignment as I observed many submissions to be copied from the sample report given by the course and the candidates only went about changing brand names and city name to submit their work. The copying was so bad to the extent that some of the candidates did not bother to even make changes to other variables (such as summer and winter season) stated in the sample copy when the cities they have named do not even have 4 seasons. We will really need to look into the effectiveness of peer review as it affects not only on the work put out by such candidates, but also how effective are these candidates in reviewing true good work when they are unsure of the content itself -- which possibly signifies why they had to copy. This is eventually reflected in the scores they give others and also their remarks, which was mandatory during the peer review. True meaning of education is acquiring knowledge, not just getting a certificate. Hope the rest of the candidates on this platform understands. They will affect the value of the certificates of such meaningful courses to drop in credibility and value in the hiring and educational field.

This is an absolute waste of time if you have any background or prior understanding of marketing basics, such as what a brand is, or can reasonably guess the types of data companies have on their users. I could see this being useful for someone with little or no prior background but this is in exceptionally untechnical, seemingly outdated course teaching exceptionally broad strokes.

There are also clear lacks of deeper thoughts into things as if they're rushing to check-off the topics and keep moving.

If you want Marketing Analytics skills or a deeper understanding, there are far better courses on here like Wharton or one of them. This feels like an Undergraduate introductory course from a middle-of-the-pack school with a nice guy as professor. But not worth you time if you even somewhat know what you're talking about already.

Started off as a good course but eventually came with its own set of flaws. Most of the data being provided is from 2014 or so and is hence extremely outdated. Could do with some more current/relevant data. Also, some of the questions in the test are unnecessary and redundant. Be it the quiz or the final tests. Could have more of application based questions instead of questions on the theoretical parts. Raj's teachings however were phenomenal. Overall, a good course but could be much better.

It's not what I was expecting. I don't feel comfortable with the way the instructor conveys the topics of the course. On the other hand, in general, I found the content too soft (and I do not have a marketing background) so I get bored easily with the lessons. Since I am more a quant person, I was hoping to delve into the quantitative approaches to analyze marketing data but simply the course isn't designed that way. Maybe I did not read the description carefully.

Material is interesting and the instructor seems knowledgable however he does not explain concepts clearly and moves way too fast. Formulas are not provided and quizzes test concepts not taught. I spent a lot of time conducting outside research to actually learn concepts. I was also disappointed in the lack of resources for help. I wish the instructor or mentors were available in the discussion forums.

The course was good enough. It had enough problems and assignments to give a clear understanding of the concepts. Although the explanation was mostly understandable and simple, in a few areas, like in the experiments module and calculation of sales lift, it got very confusing. I had difficulty in understanding that module. Nonetheless, this course proved valuable to me.

While the course was fairly easy to get through, I wish the professor would introduce formulas in its blank form before filling it in with examples. I struggle with math and it's difficult to try to learn a formula and how to apply it to certain marketing techniques outside of the course when your only exposure to it is filled with example numbers.

Very surface level information and applications. If you have coursera plus, might be worth checking out, but I wouldn't recommend paying for the course individually.

The instruuctor has a high level of energy and motivation, but the material is lacking. Thanks for the enthusiastic presentation and the squash!

It covers basics of marketing analytics and not a very advanced level. For advanced levels you may want to look at other courses on MA. The professor is good and helps gain understanding of the topic succinctly . It is good to start with but advanced knowledge will be required to better understand the topic.

The course content is not very well organized or structured, it makes the content forgetable and I always find myself missing the key points of the course. And the course material is mostly words or charts, so it's actually a bit boring. Hope the developer of this course can add more elements to it.

Quite informative but the instructor need to be more clear in his explanation. More than once I found error in his formula. That results in more confusion for the viewer.

Worst part is him going overboard with squash and vegetable analogy. Please stop dad jokes.

Explanations were quite difficult to follow and exams contained questions that weren't explained properly during the videos. Questions should be in line with examples of the video classes and I felt some of them were more complicated.

I believe there should have been a little more in depth discussion and application and regression. The content of week 1 does not include any squash!! so I believe a course on analytics without numbers seemed quite weird

Assignments could be more comprehensive and more practical tasks ensured deeper learning. Moreover, topics like CLV were not covered in detail. Else the course was good for someone will no or little knowledge. Cheers!