Quantitative Research (Coursera)

Quantitative Research (Coursera)

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. What you will 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

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.

Course 3 of 4 in the Market Research Specialization

Syllabus

WEEK 1
Getting Started and Preparing to Design a Quantitative Survey for Market Research
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.

WEEK 2
Designing and Implementing a Quantitative Survey
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.

WEEK 3
Analyzing a Survey
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.

WEEK 4
Assess Approaches and Interpret Quantitative Study Results
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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Pre-MBA Statistics (Coursera) Coursera
Indian Institute of Management Ahmedabad (IIMA)

Pre-MBA Statistics (Coursera)

Welcome to the Pre-MBA Statistics course! By the end of this course, you will be able to describe how statistics can be used to summarize, analyze, and interpret data. This course introduces you to some aspects of descriptive and inferential statistics. You will learn to distinguish between various data types and describe the operations that you can execute with each type of data and the right tools to use.

Aug 17th 2026
5-12 Weeks
Muestreo de personas, redes y registros (Coursera) Coursera
University of Michigan

Muestreo de personas, redes y registros (Coursera)

Para hacer una buena recopilación de datos se necesitan buenas muestras. Pero las muestras pueden elegirse de muchas maneras. Pueden ser selecciones fortuitas o convenientes de personas, registros, redes u otras unidades, pero uno se cuestiona la calidad de tales muestras, especialmente cómo se relacionan estos métodos de selección con el hecho de sacar buenas conclusiones sobre una población tras la recopilación y el análisis de los datos. Las muestras pueden seleccionarse con más cuidado según el criterio del investigador, pero entonces uno se pregunta si ese criterio puede estar sesgado por factores personales.

Aug 17th 2026
5-12 Weeks
Viral Marketing and How to Craft Contagious Content (Coursera) Coursera
University of Pennsylvania

Viral Marketing and How to Craft Contagious Content (Coursera)

Ever wondered why some things become popular, and other don't? Why some products becomes hits while others flop? Why some ideas take off while others languish? What are the key ideas behind viral marketing? This course explains how things catch on and helps you apply these ideas to be more effective at marketing your ideas, brands, or products. You'll learn how to make ideas stick, how to increase your influence, how to generate more word of mouth, and how to use the power of social networks to spread information and influence.

Aug 17th 2026
4 Weeks
Business English: Marketing and Sales (Coursera) Coursera
Arizona State University

Business English: Marketing and Sales (Coursera)

If you work in marketing, sales, or advertising, you already know that effective communication is a requirement. This can be even more difficult when expressing your ideas in a persuasive manner in English. In this course, you will learn to use English more efficiently while joining successful global professionals around the world.

Aug 17th 2026
5-12 Weeks
From Brand to Image: Creating High Impact Campaigns That Tell Brand Stories (Coursera) Coursera
IE Business School

From Brand to Image: Creating High Impact Campaigns That Tell Brand Stories (Coursera)

There are many different ways to approach clients to assess their needs and develop creative campaigns which fulfill your creative desires. Many agencies have established methodology, terminology and processes, and oftentimes, have spent decades or even years developing these processes. However, whether you are a freelancer, designer, illustrator, photographer or marketing director, or perhaps a small business owner, you will be looking to develop a simple process to create campaigns for yourself or your client.

Aug 17th 2026
4 Weeks
Data Management for Clinical Research (Coursera) Coursera
Vanderbilt University

Data Management for Clinical Research (Coursera)

This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set.

Aug 17th 2026
5-12 Weeks
The Strategy of Content Marketing (Coursera) Coursera
University of California, Davis

The Strategy of Content Marketing (Coursera)

This course is a partnership between the leading content marketing authority, Copyblogger, and UC Davis Extension. In this course, you will learn the core strategies content marketers use to acquire and retain customers profitably. Specifically, you will learn how to develop, organize and implement a content marketing strategy, analyze and measure the effectiveness of content marketing, write compelling copy, use a strategic framework when writing, and build your professional brand and authority through content marketing. You will also learn how to put the ideas presented to you into action and build your own personal brand through content marketing.

Aug 17th 2026
5-12 Weeks
International Organizations Management (Coursera) Coursera
University of Geneva

International Organizations Management (Coursera)

This course provides an introduction to International Organizations and the United Nations, and explores how business and management tools can be applied in these settings to achieve better, more effective results. With a focus on cross-sector partnerships in a changing world, the course offers you insights into the inner workings of international organizations and the challenges they face today.

Aug 10th 2026
5-12 Weeks
Grow with AI: Your AI-driven Growth Marketing strategy (Coursera) Coursera
Starweaver

Grow with AI: Your AI-driven Growth Marketing strategy (Coursera)

This innovative course explores the transformative role of Artificial Intelligence (AI) in Growth Marketing, equipping participants with the knowledge and skills to leverage AI for crafting innovative marketing strategies and optimizing campaigns. Participants will delve into how AI reshapes marketing approaches and contributes significantly to achieving key business objectives, preparing them to thrive in the dynamic digital marketing landscape.

Aug 17th 2026
4 Weeks
Introduction to Statistics (Coursera) Coursera
Stanford University

Introduction to Statistics (Coursera)

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

Aug 10th 2026
5-12 Weeks