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Avis et commentaires pour l'étudiant pour Quantitative Research par Université de Californie à Davis

4.2
62 notes
•
12 avis

À propos du cours

In this course, you will obtain some insights about marketing to help determine whether there is an opportunity that actually exists in the marketplace and whether it is valuable and actionable for your organization or client. Week 1: Assess methods available for creating quantitative surveys, along with their advantages and disadvantages. Identify the type of questions that should be asked and avoid unambiguous survey questions. Week 2: Design, test, and implement a survey by identifying the target audience and maximizing response rates. You will have an opportunity to use Qualtrics, a survey software tool, to launch your own survey. Week 3: Analyze statistical models that can be applied to your marketing data, so that you can make data-driven decisions about your marketing mix. Week 4: Predict most likely outcomes from the marketing decisions and match the type of analysis needed for your business problem. Take Quantitative Research as a standalone course or as part of the Market Research Specialization. You should have equivalent experience to completing the second course in this specialization, Qualitative Research, before taking this course. By completing the third class in the Specialization, you will gain the skills needed to succeed in the full program....

Meilleurs avis

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1 - 11 sur 11 Examens pour Quantitative Research

par Noor N

•

Feb 20, 2018

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.

par Victoria F

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Nov 16, 2018

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.

par Peter G S

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Jan 09, 2019

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.

par FARKHANDA I

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Dec 31, 2018

Spectacular

par Javier

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Aug 02, 2018

Excellent

par Rudyanto

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Oct 17, 2018

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

par Muhammad A A

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Jun 14, 2018

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.

par Louie C J

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Nov 08, 2017

Very helpful!

par Yoshi F T

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Mar 08, 2019

It has been possible to learn a basic framework of statistical analysis.

par Ridge D

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Jul 17, 2019

Qualitative portion is very helpful. The quantitative part is hit or miss, a lot of it is very hypothetical and not useful when actually implementing the approach in Excel.

par Arif V

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May 20, 2018

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