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⇱ Quantitative Research | Coursera


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Quantitative Research

This course is part of Market Research Specialization

38,869 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.4

347 reviews

Intermediate level

Recommended experience

Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.4

347 reviews

Intermediate level

Recommended experience

Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace

What you'll learn

  • Predict common pitfalls in designing and implementing quantitative research and a plan to avoid them

  • Design an effective questionnaire by applying best practices for writing questions and response options

  • Launch your survey to the target audience using a quantitative survey platform and get back results

  • Analyze a given set of data, perform basic calculations, and describe it with descriptive statistics

Details to know

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Assessments

17 assignmentsΒΉ

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Taught in English
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Most learners liked this course

Build your subject-matter expertise

This course is part of the Market Research Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this 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.

In this module, you will be able to identify the business objectives and assess the suitability for quantitative research. You will be able to build on qualitative findings to help inform a survey. You will be able to discuss the various types of surveys and take steps to design and implement a survey. You will also be able to recognize and avoid common survey pitfalls.

What's included

13 videos4 readings4 assignments

13 videosβ€’Total 60 minutes
  • Course Introductionβ€’4 minutes
  • Introduction to Preparing to Design a Quantitative Survey for Market Researchβ€’2 minutes
  • Identifying Business Objectivesβ€’5 minutes
  • Assessing Suitability of Quantitative Researchβ€’6 minutes
  • Building On Qualitative Findings to Inform a Quantitative Surveyβ€’5 minutes
  • Introduction to Various Types of Quantitative Surveysβ€’2 minutes
  • Online Surveysβ€’5 minutes
  • Telephone Surveysβ€’5 minutes
  • In-Person Surveysβ€’4 minutes
  • Direct Mail Surveysβ€’4 minutes
  • Steps to Design and Implement a Survey - Part 1β€’8 minutes
  • Steps to Design and Implement a Survey - Part 2β€’5 minutes
  • Recognizing and Avoiding Common Pitfallsβ€’7 minutes
4 readingsβ€’Total 41 minutes
  • Course Navigation and Safety Statementβ€’1 minute
  • Back to Basics: Six Essential Skills for Telephone Interviewingβ€’15 minutes
  • Qualtrics: 10 Tips for Building Effective Surveysβ€’15 minutes
  • 6 Common Survey Writing Mistakes in Market Researchβ€’10 minutes
4 assignmentsβ€’Total 90 minutes
  • Knowledge Check 1β€’15 minutes
  • Knowledge Check-2β€’15 minutes
  • Knowledge Check 3β€’30 minutes
  • Module 1 Quizβ€’30 minutes

In this module, you will be able to delineate the market segment and select your survey method. You will be able to identify the appropriate sample sources and determine appropriate sample size while maximizing your response rate. You will be able to design a questionnaire and appropriate response options. You will be able to perform quality control on survey questions and test and launch your survey.

What's included

12 videos4 readings3 assignments1 discussion prompt

12 videosβ€’Total 67 minutes
  • Introduction to Designing and Implementing a Quantitative Surveyβ€’1 minute
  • Delineating the Market Segmentβ€’7 minutes
  • Selecting the Survey Methodsβ€’8 minutes
  • Maximizing Response Ratesβ€’5 minutes
  • Maximizing Response Rates: Administering a Surveyβ€’5 minutes
  • Maximizing Response Rates: Level of Trustβ€’5 minutes
  • Selecting Appropriate Sample Sourcesβ€’8 minutes
  • Determining Appropriate Sample Sizeβ€’5 minutes
  • Designing a Questionnaireβ€’6 minutes
  • Designing Appropriate Response Optionsβ€’6 minutes
  • Performing Quality Controlβ€’8 minutes
  • Pre-Testing Your Surveyβ€’4 minutes
4 readingsβ€’Total 50 minutes
  • Quirk's: What Everyone Needs to Know About Samplingβ€’10 minutes
  • Sample Size Calculatorβ€’5 minutes
  • 7 Tips for Good Survey Questionsβ€’5 minutes
  • Qualtrics Resourcesβ€’30 minutes
3 assignmentsβ€’Total 210 minutes
  • Module 2 Quizβ€’30 minutes
  • Design a Quantitative Surveyβ€’90 minutes
  • Honors Assignment: Build and Distribute an Online Surveyβ€’90 minutes
1 discussion promptβ€’Total 10 minutes
  • Questionnaire Brainstormingβ€’10 minutes

In this module, you will be able to review your survey data and look for any errors. You will be able to analyze your survey conducting descriptive and inferential analysis techniques to test your hypotheses. You will be able to conduct association analysis and causal analysis with your data. Please note that this module features a fair amount of advanced statistics related math. Throughout the module, optional activities setup as practice quizzes have been provided to help reinforce what you're learning.

What's included

12 videos3 readings6 assignments1 discussion prompt

12 videosβ€’Total 59 minutes
  • Analyzing a Survey Introductionβ€’1 minute
  • Reviewing Your Data and Looking for Errorsβ€’5 minutes
  • The Importance of Scalesβ€’6 minutes
  • Descriptive Analysis: Nominal Dataβ€’6 minutes
  • Descriptive Analysis: Ordinal and Interval Dataβ€’5 minutes
  • Inferential Analysis: Confidence Intervalβ€’6 minutes
  • Testing Hypotheses, Part 1: Overviewβ€’3 minutes
  • Testing Hypotheses, Part 2: An Example Applicationβ€’7 minutes
  • Association Analysis: Comparing Groups of Peopleβ€’5 minutes
  • Association Analysis: Chi-Square Testβ€’6 minutes
  • Association Analysis: Correlation Analysisβ€’2 minutes
  • Causal Analysisβ€’6 minutes
3 readingsβ€’Total 85 minutes
  • Making Sense of Survey Dataβ€’30 minutes
  • Sampling and Samplesβ€’45 minutes
  • Datasets for Module 3 Lecturesβ€’10 minutes
6 assignmentsβ€’Total 100 minutes
  • Sampling Activityβ€’10 minutes
  • Scales Practice Activityβ€’10 minutes
  • Descriptive Analysis Activityβ€’20 minutes
  • Statistical Analysis Practice Activityβ€’20 minutes
  • Causal Analysis Practice Activityβ€’10 minutes
  • Module 3 Quizβ€’30 minutes
1 discussion promptβ€’Total 20 minutes
  • Nominal, Ordinal, and Interval Dataβ€’20 minutes

In this module, you will be able to assess the various approaches for analyzing your data. You will be able to consider multiple variables throughout your analysis and be able to interpret your results. Like the last module, this module features a fair amount of advanced statistics related math. Several optional activities setup as practice quizzes have been provided to help reinforce what you're learning.

What's included

10 videos3 readings4 assignments1 discussion prompt

10 videosβ€’Total 38 minutes
  • Assess Approaches and Interpret Study Results Introductionβ€’1 minute
  • Regression and Errorsβ€’7 minutes
  • Multiple Variablesβ€’4 minutes
  • Using Multiple Variablesβ€’4 minutes
  • Multiple Regressions: Understanding What Drives Pricingβ€’3 minutes
  • Binary Regressionβ€’5 minutes
  • Segmentation and Cluster Analysisβ€’4 minutes
  • Factor Analysisβ€’5 minutes
  • Conjoint Analysisβ€’5 minutes
  • Course Summaryβ€’1 minute
3 readingsβ€’Total 85 minutes
  • Using Multiple Variables Datasetβ€’10 minutes
  • Regression Analysisβ€’30 minutes
  • Quantitative Data Analysis Techniques for Data-Driven Marketingβ€’45 minutes
4 assignmentsβ€’Total 145 minutes
  • Anscombe's Quartetβ€’15 minutes
  • Multiple Regressions Practice Activityβ€’10 minutes
  • Module 4 Quizβ€’30 minutes
  • Quantitative Analysis of Survey Resultsβ€’90 minutes
1 discussion promptβ€’Total 10 minutes
  • Self-Reflectionβ€’10 minutes

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Instructors

Instructor ratings
4.5 (70 ratings)
University of California, Davis
2 Coursesβ€’56,840 learners

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Showing 3 of 347

DD
Β·

Reviewed on Jul 6, 2020

Its a platform to enhance your skills and learn the things efficiently with a practical approachThanks to Coursera Team

JD
Β·

Reviewed on Nov 4, 2020

This course helped me understand the relavant knowledge to undertake Quantitative Research.Thanks a lot to the Instructors.John Paco

OO
Β·

Reviewed on Mar 3, 2022

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.

Frequently asked questions

You'll learn how to turn a marketing question into a quantitative study and use the results to guide decisions. It starts with deciding when quantitative research fits, then moves into questionnaire design, sampling, survey launch, and data analysis, including descriptive statistics and regression. Along the way, you'll design a survey and analyze a smartphone survey dataset in peer-reviewed work.

Not necessarily, but some equivalent background is expected. The course recommends experience on par with the earlier Qualitative Research course, because it builds on qualitative findings and moves quickly into survey design and analysis. Some comfort with statistics will also help, since the later modules include a fair amount of math.

Not really for complete beginners. It works best if you already know the basics of market research and want to move into quantitative surveys, sampling, and data analysis. If you're brand new to research design or statistics, the intermediate pace may feel fast.

Plan on about 18 hours in total, or roughly two weeks if you study around 10 hours a week. The pacing works well if you like short lessons followed by readings, quizzes, and applied assignments. The course includes lessons, readings, quizzes, and peer-reviewed work where you design a survey and analyze results.

Yes, there's hands-on work, but it's mostly guided rather than open-ended. You'll design a quantitative survey with an introduction and at least 10 questions, create an online survey in Qualtrics or a similar tool, and complete a peer-reviewed analysis of smartphone survey data. That practice helps you apply each part of the research process as you learn it.

The course focuses on survey-based quantitative research for marketing, from defining business objectives to choosing a survey method and identifying the right sample. You'll learn how to write clearer questions and response options, improve response rates, and analyze findings with descriptive statistics and hypothesis testing. Overall, it helps you connect research design with the kind of evidence needed to make better marketing decisions.

After finishing, you should be able to plan and run a basic quantitative research project from questionnaire design through launch and analysis. You'll be able to define a target audience, spot common survey or data issues, and choose an analysis approach that fits the business question. For example, you could survey a customer segment, compare the results across groups, and use the findings to support a marketing decision.

It's more concept-first, with guided practice built in. You'll spend a lot of time learning why certain survey and analysis choices work, then reinforce that through quizzes, assignments, and peer-reviewed exercises. That makes it a better match for learners who want explanation and application together, rather than a project-heavy format.

This course is a good choice if you want quantitative research taught as one connected marketing workflow, not as separate lessons on surveys or statistics. It links business objectives, qualitative insights, survey design, sampling, response rates, and analysis, then asks you to create a survey and interpret results. If you want a course that ties research decisions directly to practical marketing questions, it's likely a better fit than a more narrowly focused alternative.

Financial aid available,

ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.