Research Report: Delivering Insights (Coursera)

Research Report: Delivering Insights (Coursera)

You have completed all the hard work of conducting your internal, secondary, and primary research. You have analyzed all the data and are able to formulate insights and recommendations based on your research proposal. But what is the best way to present your findings and be able to make a decision? In this course, you will discuss how to incorporate a story in your marketing presentation to help you capture the attention and gain support of stakeholders and business leaders.

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

You will choose the most effective analytical method for delivering your insights and the best presentation method for your given audience. You will incorporate data visualization best practices and use tips and tricks when presenting to your various levels of decision makers and stakeholders.

What You Will Learn

  • Synthesize research findings and develop insights
  • Assess the changing roles of digital and traditional advertising
  • Apply storytelling strategies in presentations
  • Demonstrate effective presentation skills and deliver insights

Course 4 of 4 in the Market Research Specialization

Syllabus

WEEK 1
Getting Started & Synthesizing Findings and Deriving Insights
You’ve gathered your data from qualitative and quantitative market research. Where do you go from there? At this stage, you will need to synthesize your findings and derive valid and actionable insights that will help to solve the business problem. In this module, you will be able to find the story in the data and shape it to contribute to a compelling market research presentation. You will be able to synthesize the data, select the appropriate tools to analyze your product or service and determine how consumers view your market. You'll be able to evaluate Market Positioning and Market Segmentation; you will see how to use Conjoint Analysis to compare the relative value of product features or attributes, and Perceptual Maps to help tell the story of consumers in your market and provide actionable comparisons. You will also define terminology and essential concepts that will equip you to be conversant and more confident in the market research field.

WEEK 2
Measuring Various Marketing Efforts
Up to this point, you’ve synthesized findings and derived insights to address a business problem. However, once you've implemented a marketing plan, seeking to reach the target market and engage them with the business, product or service, how do you know if the marketing efforts are working? That’s what you will focus on in this module. You will compare and contrast traditional advertising with digital advertising and social media marketing. You will be able to track consumers through the stages of the Purchase Funnel and plan ways to effectively market to them at each point along that journey toward a purchase. You will weigh the pros and cons of social media and word-of-mouth advertising that have become essential digital strategies. You will also be able to build and track a social media marketing plan, learning various effective ways to attribute sales back to specific marketing efforts.

WEEK 3
Planning to Communicate Findings
Doing the research and analyzing the data is important, but how well you communicate those findings is critical. This module is all about equipping you to implement a plan to make sure that the way you communicate your market research is worthy of all the work that went into gathering and analyzing it. In this module, you will use proven methods for developing research-based recommendations, testing and refining your ideas before you create your presentation. You will be able to apply storytelling strategies to increase your impact. You will be able to select the best methods to deliver findings and choose the appropriate data visualization techniques for various situations and kinds of data. You will also be able to recognize the drawbacks of poor data visualization and make sure you are presenting your data and market research to help clients and stakeholders make marketing decisions that will solve the business problem and lead to success.

WEEK 4
Designing and Presenting Ideas
There are certain expectations of a market research report or presentation. You have prepared to communicate your findings, however, you still have to construct your presentation. This module covers the building blocks and required sections that are industry standards in a market research presentation. In this module, you will review the essential sections of a market research report and offer further directions for designing visualizations of your data. You will be able to complete a market research presentation with the requisite sections and design a presentation that caters to a specific audience. You’ll be able to deliver research-based ideas and findings through a story that will cast your client in the hero role. You’ll also be able to deliver actionable recommendations that will help solve your client’s business problem. And, isn’t that the point of all the research done prior to this part of the process?

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

Related Courses

Data Science for Business Innovation (Coursera) Coursera
Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Nov 16th 2026
4 Weeks
Marketing analytics: Know your customers (Coursera) Coursera
Macquarie University

Marketing analytics: Know your customers (Coursera)

Are your customers at the centre of your organisation’s strategy? An understanding of marketing analytics, the core component of this course, is crucial to serving your customers well. Through structured learning activities (video lectures, quizzes, discussion prompts, industry interviews and written assessments) this course will teach you what to measure – and how – in order to maximise customer value. Rapid advancements in technology mean more powerful data and analytics can inform marketing decisions.

Nov 16th 2026
5-12 Weeks
SQL: A Practical Introduction for Querying Databases (Coursera) Coursera
IBM

SQL: A Practical Introduction for Querying Databases (Coursera)

Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and manipulating data in databases. A working knowledge of databases and SQL is a must for anyone who wants to start a career in Data Engineering, Data Warehousing, Data Analytics, Data Science or Business Intelligence. The purpose of this course is to help you learn and apply foundational and intermediate knowledge of the SQL language, and become familiar with many relational database (RDBMS) concepts along the way.

Nov 16th 2026
5-12 Weeks
Football: More than a Game (Coursera) Coursera
University of Edinburgh

Football: More than a Game (Coursera)

Explore the world of football (soccer), the money, the rivalries, the trends, the past, the present, the men’s game, the women's game and the real issues. Whether you love it, hate it or try to ignore it – join us as we go behind the scenes to examine why football is more than just a game.

Nov 16th 2026
5-12 Weeks
Introducción a las redes sociales. Sus objetivos y métricas. (Coursera) Coursera
Tecnológico de Monterrey

Introducción a las redes sociales. Sus objetivos y métricas. (Coursera)

En este programa se hará, de manera holística, una revisión del uso e implementación de redes sociales. Se provee de un conocimiento sólido en el desarrollo de estrategias requeridas en una organización para involucrar a los consumidores y miembros de la misma en un ambiente de social listening.

Nov 16th 2026
5-12 Weeks
Mastering SEO with Jasper: Ranking and Optimization (Coursera) Coursera
Coursera Instructor Network

Mastering SEO with Jasper: Ranking and Optimization (Coursera)

Learners will co-create a high-quality, SEO-optimized nutrition blog article alongside the instructor, leveraging the capabilities of Jasper AI. By the end of the project, learners will have a deep understanding of how to create engaging and informative, SEO-optimized and mobile-friendly articles that can attract a wider audience, boost website traffic, and achieve their online marketing goals.

Nov 16th 2026
1 Week
Effective Marketing in the Global Marketplace (Coursera) Coursera
Coursera Instructor Network

Effective Marketing in the Global Marketplace (Coursera)

In today's global marketplace, successful marketing hinges on the ability to connect with diverse audiences. This comprehensive course on Marketing introduces learners to core concepts and best practices for defining a target audience, crafting a strong value proposition, building brand identity, and implementing various marketing strategies. Whether you're a marketing professional or a business owner, this course equips you with the tools to engage audiences effectively and drive business growth.

Nov 16th 2026
1 Week
Marketing no mundo digital (Coursera) Coursera
University of Illinois at Urbana-Champaign

Marketing no mundo digital (Coursera)

Este curso analisa como ferramentas digitais, por exemplo, a Internet, os smartphones e a impressão 3D, estão revolucionando o mundo do marketing ao mudar as funções e práticas das empresas e dos consumidores. O Marketing no mundo digital é um dos cursos mais procurados da Coursera com mais de 250 mil alunos e ele foi classificado pela Class Central como um dos 50 melhores cursos on-line abertos e massivos (MOOCs, na sigla em inglês) de todos os tempos.

Nov 16th 2026
4 Weeks
Principles of fMRI 2 (Coursera) Coursera
Johns Hopkins University,University of Colorado Boulder

Principles of fMRI 2 (Coursera)

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.

Nov 16th 2026
4 Weeks
Powerful Tools for Teaching and Learning: Digital Storytelling (Coursera) Coursera
University of Houston System

Powerful Tools for Teaching and Learning: Digital Storytelling (Coursera)

Powerful Tools for Teaching and Learning: Digital Storytelling introduces educators to digital storytelling and explores ways to use digital stories to enhance students’ learning experiences. The course is designed to be comprehensive yet fundamental. By comprehensive we mean that the course provides a solid foundation for all of the components of a digital story and illustrates these components with tutorials, example stories, and links to additional readings. The course also provides a hands-on opportunity for learners to create their own digital stories. The course is fundamental because it covers the basic process of creating a digital story starting with just a simple script and as little as one image.

Nov 16th 2026
5-12 Weeks
Statistics and Data Analysis with Excel, Part 2 (Coursera) Coursera
University of Colorado Boulder

Statistics and Data Analysis with Excel, Part 2 (Coursera)

This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics.

Nov 16th 2026
5-12 Weeks
Data Processing with Azure (Coursera) Coursera
LearnQuest

Data Processing with Azure (Coursera)

This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Students will learn the most effective method of using essential analytical tools such as Python, R, and Apache Spark.

Nov 16th 2026
3 Weeks