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

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.

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

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: Data Collection
Category: Research Methodologies
Category: Qualitative Research
Category: Interviewing Skills
Category: Healthcare Ethics
Category: Focus Group
Category: Business Research
Category: Surveys
Category: Analysis
Category: Research
Category: Research Design

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: Qualitative Research
Category: Data Management
Category: Quantitative Research
Category: Data Integration
Category: Research Reports
Category: Stakeholder Communications
Category: Data Ethics
Category: Surveys
Category: Data Storytelling
Category: Data Collection
Category: Analysis
Category: Research Methodologies
Category: Research Design
Category: Data Presentation

What you'll learn

Skills you'll gain

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

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: ChatGPT
Category: Data-Driven Decision-Making
Category: Marketing Analytics
Category: Market Trend
Category: Trend Analysis
Category: Data Ethics
Category: Business Analysis
Category: Competitive Analysis
Category: Customer Insights
Category: Market Analysis
Category: Analytics
Category: Forecasting
Category: OpenAI
Category: Persona Development
Category: Data 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

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

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

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Instructors

Marta Sotto-Mayor
8 Courses29,612 learners
Starweaver
Coursera Instructor Network
403 Courses723,860 learners
Raksha Mahabeer
Coursera Instructor Network
1 Course3,538 learners

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