Very strange and convoluted course. Not sure if it was just me, but I felt I was hit with a lot of math and information I was not prepped for from the previous courses or even the previous weeks. This is definitely the weak link in the entire research marketing specialization.

Also I feel the speaker speaks way too fast and many of the course files seemed to be missing information.

The second part of the course was rushed and I could not fully comprehend what the lecturer was saying. Now I am stuck with an assignment that I am struggling to understand and finish.

The last two modules on Statistics were explained too generally and they are difficult to follow. The modules intend to cover Statistics in some detail but it becomes fuzzy and heavy. There are many "practice quizzes" which I did not find helpful at all, I had to look online for information to answer them, however they are compulsory (70% pass grade). It might be better to leave Statistics separately, on a different course altogether.

Unfortunately, the level of teaching of Prof. Dr. Olivier Rubel did not match what the course had promised. The level of detail explanations wasn't high enough, many things were merely mentioned without describing the meaning of statistic calculations, the speach was very hard to follow due to a hardly understandable accent in English and the lecture notes didn't always make sense. I would not suggest Prof. Rubel should teach this course.

Concepts could have been thought a little more clearly. I felt like some of the key concepts were rushed.

The second half of the course was a convoluted statistics lesson that had little to do with what we were learning earlier in the specialization. The instructor was unable to deliver the intended training. The assignment was almost impossible to complete without help from other online sources and lectures. Some of the course links within the course are outdated and don't work.

We went from a Quant Research intro into an advanced stats space which likely requires an existing background in stats. This could have been an entire course on its own (if not more) For example, we were asked to run regression in the course assignment, but there wasn't enough info in the videos and course materials to actually follow all the steps on excel. Additionally, the course clearly missed important aspects of Quant Research. There was no mention of weighting, sample balancing, and no training on how to run cross tabs in softwares such as SPSS. I believe that is something that more researchers do vs. running complex statistics and regression.

I would not recommend this course and if it wasn't for the specialization (or the fact that I was halfway through the specialization), I would not have opted out of this course.

The instructor's french accent gives non-native english speakers a very hard time to understand the content. It's an unnecessary frustration that puts us at 0.5x speed due to his odd pronunciation. I would categorize it as midly-to-moderately infurating. The course covers good basic content, but does not prepare the student to learn how to put it in practice at all, making the graded activities somewhat of a nightmare to finish. I had to work many extra hours seeking external sources because the course is simply not enough, unlike it's Qual Research counterpart. All in all, good premise, good plan, mediocre execution. 3 stars.

Its a platform to enhance your skills and learn the things efficiently with a practical approach

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SUPER

The Quantitative Research course on Coursera exceeded my expectations in terms of content, instruction, and practicality. It provided me with valuable skills and knowledge that I can apply in various research and data analysis contexts. I highly recommend this course to anyone looking to enhance their quantitative research skills. Thank you to the instructor and Coursera for offering such an excellent learning opportunity.

I recommend this course to every one who wants to enhance his/her quantitative research skills. Furthermore, this course is very beneficial for researchers, research scholars and students especially those are writing research proposals under quantitative research methodology.

It helped me get through market research now i feel comfortable doing some analysis and market research questionnaire building etc

I will recommend this course to my peers

This course is one of the best courses each researcher needs to take. I strongly recommend this course because of its rich material and nice teaching of the instructors.

I enjoyed every bit of the course content most especially the analytical aspect of it. I have indeed acquired an invaluable skill. Thanks to our amazing instructors.

This course helped me understand the relavant knowledge to undertake Quantitative Research.

Thanks a lot to the Instructors.

John Paco

It is a very good course. I've learned a lot and I feel more prepared to work with quantitative research.

A good insight from this course. Hope this will help us to boost our career. Thanks for the lessons.

the course will give you the Theoritcal as well as practical knowledge of Quantitative Research

This course is good for someone who is looking for the basic principle of quantitative research

An amazing course. You should have atleast a degree in statitics to understand the subject.

Very Useful course. Instructors and their Pedagogy and Learning strategies are amazing

A perfect blend of information and knowledge needed by newcomers to this field

very helpful in building foundations for market analysis

A complete course best foe beginners.

Well covered course in limited time.