Online Course – Certified Professional Internship in Market Research and Marketing Strategy from Fundação Instituto de Administração

Discover how market research contributes to marketing. Develop your market research skills to develop effective marketing strategies.

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Ability to find creative solutions
  • Improving communication skills
  • Effective time management
  • Developing critical thinking
  • Collaboration in teamwork
  • High analytical ability
  • Developing leadership skills
  • Professional crisis management
  • In-depth understanding of new technologies
  • Flexibility and self-competence

What you will learn in the course

Courses for which the course is suitable

  • Market Research Analyst
  • Market Research Manager
  • Marketing consultant
  • Marketing Strategy Manager
  • Data analysis specialist
  • Marketing Project Manager
  • Market researcher
  • Product Manager

Internship – a four-part course series

The integrated course program

The integrated course program focuses on providing a comprehensive understanding of the key aspects of market research and how it can impact an organization’s marketing strategy. By the end of the course, you will be able to plan, conduct, analyze, and produce results from market research.

Hands-on Learning Project

The integrated course program does not require the development of a practical project. The value-based activities are done during each course.

Estimates
  • Each course includes four assessments at the end of each module.
  • A total of 16 assessments throughout the integrated course program.

Details of the courses that make up the specialization

Market research and strategic marketing management

Course 1 • 35 hours

Course Details
  • What you’ll learn

Welcome to the course “Market Research and Strategic Marketing Management”. In this course you will learn about the role of data and information in making marketing decisions. We will discuss topics such as a marketing intelligence system, the use of data and information for segmentation, experimentation and building insights.

At the end of the course, you will know how to link information with marketing tools and decisions.

The course consists of four modules, spread over the course of the learning weeks. Each module includes videos, readings, and comprehension tests. At the end of each module, an assessment is conducted to test knowledge.

We are glad you are with us in this course and hope you get the most out of the principles presented here.

Fun studies!

Skills you will acquire
  • Category: Market Research
  • Category: STP Marketing
  • Category: Marketing Insights
  • Category: Marketing and Attraction

Market research using qualitative methods

Course 2 • 38 hours

Course Details
  • What you’ll learn

Welcome to the course “Market Research Using Qualitative Methods.” In this course, you will be introduced to qualitative research in marketing. We will discuss the research methods related to the topic, with an emphasis on their use in the context of making managerial decisions in marketing.

At the end of the course, you will know how to plan qualitative research, and you will be able to identify the best way to collect data that can answer your research question.

The course includes four modules, spread over the course of the learning weeks. Each module includes videos, readings, and tests. At the end of each module, there is an assessment to test your knowledge.

We are glad you are with us and hope you will make the most of the principles presented here.

Fun studies!

Skills you will acquire
  • Category: Mixed Methods
  • Category: Interviews
  • Category: Data collection
  • Category: Content Analysis

Market research using quantitative methods

Course 3 • 30 hours

Course Details
  • What you’ll learn

Welcome to the course “Market Research Using Quantitative Methods.” The goal of this course is to familiarize yourself with the environment of quantitative research, with a discussion of the process of developing data collection tools, selecting samples, and collecting and analyzing data.

At the end of the course, you will know how to develop the entire data collection process in quantitative research.

The course includes four modules, spread over the course of the learning weeks. Each module includes videos, readings, and tests. At the end of each module, there is an assessment to test your knowledge.

We are glad you are with us and hope you will make the most of the principles presented here.

Fun studies!

Skills you will acquire
  • Category: Quantitative Analysis Document
  • Category: Sample
  • Category: Data Preparation
  • Category: Ladder
  • Category: Data collection

Quantitative data analysis

Course 4 • 26 hours • 4.4 (21 ratings)

Course Details
  • What you’ll learn

Welcome to the “Quantitative Data Analysis” course. In this course, we will discuss the key techniques for data analysis, so that you can get an overview of the options available for planning market research and obtaining analyses that provide real answers to market research questions raised during the planning and formulation phase of the study.

At the end of the course, you will know how to analyze complex market scenarios, identify appropriate quantitative analysis techniques and apply them to summarize and describe data, thus supporting the construction of models and the validation of findings related to consumers, competitors, industry, products and services, among other market variables, for the purpose of making strategic marketing decisions.

The course includes four modules, spread over the course of the learning weeks. Each module includes videos, readings, and tests. At the end of each module, there is an assessment to test your knowledge.

We are glad you are with us and hope you will make the most of the principles presented here.

Fun studies!

Skills you will acquire
  • Category: Kibbutz Models
  • Category: Structural Models
  • Category: Exploratory Data Analysis
  • Category: Predictive Models