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Learner Reviews & Feedback for Quantitative Research by University of California, Davis

4.4
stars
316 ratings

About the Course

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....

Top reviews

SK

Nov 9, 2022

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

MK

Jan 19, 2025

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.

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26 - 50 of 64 Reviews for Quantitative Research

By Rashmi R R

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Jul 14, 2020

very productive course

By Analyn B

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Jan 16, 2021

Thank you very much!

By Arlinda S M S

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Aug 20, 2023

Fantástico o curso.

By Shivya T

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Jun 28, 2020

it is knowledgeble

By Divyanshu D P

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Oct 6, 2020

Its very helpfull

By GOSARIPALLI R 1

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Jul 5, 2021

good knowledge

By Louie J

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Nov 8, 2017

Very helpful!

By Aditya s

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Oct 29, 2022

eexcellent

By FARKHANDA I

•

Dec 31, 2018

Spectacular

By Deleted A

•

Oct 27, 2021

Excellent.

By Bektemissova M

•

Dec 7, 2024

very good

By Flt L G R

•

Jun 17, 2020

THANKS...

By JAVIER P

•

Aug 2, 2018

Excellent

By Bilal A

•

Jan 19, 2022

good

By Akash K

•

Mar 13, 2021

good

By Ketan V M

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Nov 3, 2020

good

By Jubin S S

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Jul 15, 2020

Good

By brian s

•

Aug 17, 2021

I thought this course was good, and helped balance what was learned in the earlier courses. What keeps this from being five stars is that the second half of this course is well taught, but the instructions on what to focus on to be successful with the quizzes and assignements were not accurate at times.

By Alena A

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Aug 3, 2020

The course requires knowledge of statistics and without it it is rather difficult to follow. However, it provides a decent overview of what quantitative research is and how it is conducted. Not recommended for beginners without prior knowledge in statistics.

By Joseph R

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May 2, 2021

Week 4 project could be reworded better for clarity. Optional additional video for doing data analysis functions in excel would be useful for less experienced students.

One of the two readings in the week 4 has a broken link.

By 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.

By Yoshi F T

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Mar 7, 2019

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

By Karthik R B 2

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Nov 20, 2022

its very good and receiving

By BILLIGUNTA V P K 1

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Aug 14, 2021

good

By Jesus V

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Jan 3, 2025

Course based on bite-sized lessons, which is perfect for online courses. Lessons have good examples, and clearly explain formulae. However, there are several issues with this course: 1. I miss an overall guide / structure to follow through the different lessons and why we are studying them. 2. A final cheat sheet would be great to review and go back to key insights quickly. 3. Some values are incorrect (such as when calculating confidence intervals). 4. I miss a more clear explanation of when to use which method (e.g., using z score vs using 5. The final assignment shows you can translate ordinal scales into intervals but can't remember this being mentioned through the lessons. 6. The exercises for modules 3 & 4 are much harder than for module 1 & 2 (expected?). Overall: Good insights, good intentions, but lacking the rigour to apply them to real-world projects.