Quantitative Research

This course is part of Market Research Specialization

Instructors: Susan Berman +1 more

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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
  • Skills you'll gain

  •   Surveys
  •   Statistical Analysis
  •   Data Analysis
  •   Marketing Analytics
  •   Market Research
  •   Marketing
  •   Sample Size Determination
  •   Target Market
  •   Survey Creation
  •   Quantitative Research
  •   Statistical Methods
  •   Quality Control
  • There are 4 modules in this course

    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.

    Designing and Implementing a Quantitative Survey

    Analyzing a Survey

    Assess Approaches and Interpret Quantitative Study Results

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