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

Access provided by American University of Bahrain

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

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Taught in English
Recently updated!

July 2025

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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

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

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

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

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

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

What you'll learn

Skills you'll gain

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

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

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

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

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

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

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

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Instructors

Marta Sotto-Mayor
8 Courses33,382 learners
Starweaver
Coursera Instructor Network
437 Courses803,665 learners
Raksha Mahabeer
Coursera Instructor Network
1 Course3,880 learners

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