Coursera Instructor Network
Market Research Methods and Data Analysis Certificate Specialization
Coursera Instructor Network

Market Research Methods and Data Analysis Certificate Specialization

Launch your market research career with data. Build research skills using Excel, R, and AI. Learn qualitative and quantitative methods.

Marta Sotto-Mayor
Starweaver
Raksha Mahabeer

Instructors: Marta Sotto-Mayor

Included with Coursera Plus

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • Design and conduct both qualitative and quantitative research studies using industry-standard methodologies and tools.

  • Analyze data using Excel and R programming to generate statistical insights and identify market trends.

  • Apply GenAI tools and competitive analysis techniques to streamline research workflows and inform strategic decisions.

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

July 2025

30 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Coursera Instructor Network

Specialization - 7 course series

What you'll learn

  • Design a basic quantitative study, including determining research questions, selecting appropriate methods, and implementing data collection.

  • Perform basic statistical analyses (mean, standard deviation, correlations) using Excel and R.

  • Interpret descriptive statistical results to support informed decision-making.

  • Apply ethical considerations and quality checks throughout study design, data collection, and analysis to ensure rigor and reliability.

Skills you'll gain

Data Analysis, R Programming, Quantitative Research, Microsoft Excel, Data Ethics, Data-Driven Decision-Making, Statistical Analysis, Data Presentation, Research Design, Descriptive Statistics, Data Collection, Statistical Reporting, Statistics, Research, Research Methodologies, and Surveys

What you'll learn

  • Examine qualitative research fundamentals by grasping the key principles, methodologies, and philosophical foundations of qualitative inquiry.

  • Design effective studies by framing research questions, choosing appropriate methods, and planning studies that yield rich and relevant data.

  • Apply data collection techniques by conducting interviews, facilitating focus groups, and documenting observations confidently.

  • Analyze themes using coding techniques to identify patterns, refine insights, and create actionable, valid research findings.

Skills you'll gain

Qualitative Research, Interviewing Skills, Data Collection, Research Methodologies, Analysis, Research, Research Design, Focus Group, Surveys, Report Writing, and Case Studies

What you'll learn

  • Design mixed-methods research studies tailored to diverse problems, aligning research questions and methodologies effectively.

  • Apply practical strategies to collect, organize, and integrate qualitative and quantitative data using appropriate tools and workflows.

  • Analyze integrated datasets to generate actionable insights while addressing ethical consideration.

  • Develop compelling reports and presentations that synthesize findings into narratives, visuals, and recommendations for diverse stakeholders.

Skills you'll gain

Data Management, Quantitative Research, Interactive Data Visualization, Data Integration, Qualitative Research, Report Writing, Data Presentation, Data Analysis, Research Design, Research Methodologies, Presentations, Research, Data Storytelling, Surveys, Data Ethics, Stakeholder Communications, Analysis, and Data Collection

What you'll learn

Skills you'll gain

Market Research, Data Collection, Data Analysis, Business Research, Customer Insights, Market Trend, Strategic Decision-Making, Trend Analysis, Competitive Analysis, Marketing, Analytical Skills, Market Analysis, Consumer Behaviour, Quantitative Research, and Data-Driven Decision-Making

What you'll learn

  • Identify the capabilities of GenAI for basic role-specific market research functions.

  • Examine real-world applications to leverage GenAI for streamlining work and fostering innovation in market research functions.

  • Deploy strategies and tactics to responsibly integrate GenAI into market research practices, while maintaining human oversight and accountability.

Skills you'll gain

Market Research, Generative AI, Personalized Service, Customer Insights, Trend Analysis, Market Intelligence, Customer Analysis, Analytics, Market Trend, Data-Driven Decision-Making, Responsible AI, Competitive Analysis, Ethical Standards And Conduct, Data Analysis, and Market Analysis

What you'll learn

  • Identify the fundamentals of competitive analysis and benchmarking.

  • Interpret and apply market research insights to practical problem solving.

  • Communicate clearly comprehensive competitive analysis reports.

  • Evaluate and strategically apply competitive analysis.

Skills you'll gain

Competitive Analysis, Market Dynamics, Strategic Decision-Making, Data-Driven Decision-Making, Market Intelligence, Benchmarking, Report Writing, Business Strategy, Business Communication, Market Research, Market Analysis, and Business Metrics

What you'll learn

  • Analyze the role of storytelling in data visualization to enhance audience engagement and facilitate deeper understanding.

  • Design and synthesize effective, persuasive data visualizations by applying advanced design principles and storytelling techniques.

  • Evaluate and interpret data critically for accuracy, relevance, and potential biases to ensure integrity and objectivity in narratives.

  • Demonstrate the ability to select and effectively use various tools and software for developing engaging and visually appealing data stories.

Skills you'll gain

Data Visualization Software, Data Presentation, Data Storytelling, Decision Making, Statistical Analysis, Drive Engagement, Infographics, Data Integrity, Storytelling, Microsoft Excel, Data Analysis, Storyboarding, Design Elements And Principles, and Data Visualization

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Marta Sotto-Mayor
8 Courses34,964 learners
Starweaver
Coursera Instructor Network
448 Courses843,680 learners
Raksha Mahabeer
Coursera Instructor Network
1 Course4,042 learners
Eric Zackrison
19 Courses20,728 learners
Woody Lewenstein
Coursera Instructor Network
4 Courses2,456 learners
Christopher Klaus
Coursera Instructor Network
16 Courses9,730 learners

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