Pesquisa de Mercado com Métodos Quantitativos (Coursera)

Offered by FIA Business School,
Pesquisa de Mercado com Métodos Quantitativos (Coursera)

Nossas boas-vindas ao Curso Pesquisa de Mercado com Métodos Quantitativos. Este curso tem como objetivo introduzir o aluno no ambiente da pesquisa quantitativa, discutindo o processo de desenvolvimento de instrumentos de coleta de dados, selecionando amostras, coletando e analisando os dados.

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

Ao final deste curso, você será capaz de desenvolver todo o processo de coleta de dados da pesquisa quantitativa.
Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos.
Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados.
Bons estudos!
Course 3 of 4 in the Pesquisa de Mercado e Estratégia de Marketing Specialization.

Syllabus

WEEK 1
Pesquisa Quantitativa de Mercado
Neste módulo, serão abordadas as principais características da pesquisa quantitativa, destacando como é possível selecioná-la como o tipo de pesquisa mais adequada para responder o problema de pesquisa.

WEEK 2
Coleta de Dados da Pesquisa Quantitativa
Neste módulo, será abordado o processo de elaboração de questionários. Este processo é bastante delicado, pois questionários mal planejados prejudicam a coleta e análise de dados. Sendo assim, discutiremos as melhores práticas para desenvolver a aplicação de um questionário.

WEEK 3
Amostragem
Selecionar os respondentes de uma pesquisa é peça chave da qualidade de um esforço de coleta de dados. É fundamental ter clareza no momento de definir como serão selecionados os respondentes da pesquisa.

WEEK 4
Pesquisa Quantitativa na Prática - Mapa Perceptual
O processo que envolve a coleta de dados tem impacto relevante na qualidade da pesquisa. Neste módulo, discutiremos a utilização de mapa perceptual na pesquisa quantitativa.

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

Related Courses

The Measure Phase for the 6 σ Black Belt (Coursera) Coursera
University System of Georgia

The Measure Phase for the 6 σ Black Belt (Coursera)

This course is designed for professionals interested in learning the principles of Lean Sigma, the DMAIC process and DFSS. This course is number 4 of 8 in this specialization dealing with topics in the Measure Phase of Six Sigma. Professionals with some completed coursework in statistics and a desire to drive continuous improvement within their organizations would find this course and the others in this specialization appealing. Method of assessment consists of several formative and summative quizzes and a multi-part peer reviewed project completion regiment.

Nov 2nd 2026
5-12 Weeks
Python and Statistics for Financial Analysis (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Python and Statistics for Financial Analysis (Coursera)

Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

Nov 2nd 2026
4 Weeks
Algorithms, Data Collection, and Starting to Code (Coursera) Coursera
University of Colorado System

Algorithms, Data Collection, and Starting to Code (Coursera)

This course starts you on your journey learning about computational thinking and beginning C programming. If you’d like to explore how we can interact with the world in a rigorous, computational way, and would also like to start learning to program, this is the course for you!

Nov 2nd 2026
4 Weeks
The Economics of Agro-Food Value Chains (Coursera) Coursera
Technische Universität München - TUM

The Economics of Agro-Food Value Chains (Coursera)

In this course, you learn how the agro-food value chain approaches the challenge of constantly improving its competitiveness by producing high quality food and products and also aiming to attain greater sustainability. Some of the topics of this course are: the notion of quality for food and agricultural products and consumer value; how to conduct market research in this field; labelling, branding and pricing strategies, as-well as innovation in the agro-food sector; how sustainability can be used as a competitive advantage through corporate social responsibility: the role and different types of industrial standards; the different forms of coordination in the chain, in particular with regard to the retailing and distribution sector.

Oct 28th 2026
5-12 Weeks
Community Engagement in Research and Population Health (Coursera) Coursera
University of Rochester

Community Engagement in Research and Population Health (Coursera)

Welcome to the Community Engagement in Population Health course! As you will learn, the health system is in the midst of a critical transition. The current system is not sustainable with escalating costs, mediocre health outcomes, and unacceptable disparities. This course will first discuss the current system, including definitions of population health and social determinants of health, and how the US compares to other countries on the triple aim –lower cost, better care, and a healthier population.

Nov 16th 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.

Nov 9th 2026
5-12 Weeks
Dealing With Missing Data (Coursera) Coursera
University of Maryland, College Park

Dealing With Missing Data (Coursera)

This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®.

Nov 2nd 2026
4 Weeks
Population Health: Syndemics (Coursera) Coursera
Leiden University

Population Health: Syndemics (Coursera)

Do you wish to contribute to breaking cycles of ill-health in disadvantaged populations? And explore co-occurrence of diseases, such as substance abuse, infectious and chronic disease, and the relation with social factors (disparities)? Are you disappointed in the poor effectiveness of interventions for combined social and medical problems? Then this syndemics course might provide you with some answers.

Nov 9th 2026
4 Weeks
Research Proposal: Initiating Research (Coursera) Coursera
University of California, Davis

Research Proposal: Initiating Research (Coursera)

Market Research is a growing and important field that is used in many industries around the world. Given all the data that is collected whether by organizations, industries, social media, governments, etc., it’s important that someone can review and sift through all the noise to provide valuable insights. And that’s where you come in as a market researcher. This course will only scratch the surface and provide you a foundational understanding of this field.

Nov 2nd 2026
4 Weeks
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.

Nov 9th 2026
5-12 Weeks
How to Describe Data (Coursera) Coursera
University of Michigan

How to Describe Data (Coursera)

How to Describe Data examines the use of data in our everyday lives, giving you the ability to assess the usefulness and relevance of the information you encounter. In this course, learn about uncertainty’s role in measurements and how you can develop a critical eye toward evaluating statistical information in places like headlines, advertisements, and research. You’ll learn the fundamentals of discussing, evaluating, and presenting a wide range of data sets, as well as how data helps us make sense of the world. This is a broad overview of statistics and is designed for those with no previous experience in data analysis.

Nov 2nd 2026
4 Weeks