Coursera

Market Research Methods and Data Analysis Certificate Professional Certificate

Coursera

Market Research Methods and Data Analysis Certificate Professional Certificate

Launch your market research career with data.

Build research skills using Excel, R, and AI. Learn qualitative and quantitative methods.

Marta Sotto-Mayor
Ranjan Relan
Starweaver

Instructors: Marta Sotto-Mayor

3,701 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

from 251 reviews of courses in this program

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise

from 251 reviews of courses in this program

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!

May 2026

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Professional Certificate - 9 course series

Introduction to Market Research

Introduction to Market Research

Course 1, 5 hours

What you'll learn

Skills you'll gain

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

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: Qualitative Research
Category: Data Collection
Category: Research Methodologies
Category: Interviewing Skills
Category: Research and Design
Category: Case Studies
Category: Discussion Facilitation
Category: Research Design
Category: Focus Group
Category: Analysis
Category: Research

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: Microsoft Excel
Category: Data Analysis
Category: Data Ethics
Category: Statistical Analysis
Category: Data Collection
Category: R (Software)
Category: Research
Category: Statistical Methods
Category: Quantitative Research
Category: Data-Driven Decision-Making
Category: R Programming
Category: Research Reports
Category: Statistics
Category: Descriptive Analytics
Category: Correlation Analysis
Category: Research Methodologies
Category: Descriptive Statistics
Category: Statistical Reporting
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: Qualitative Research
Category: Quantitative Research
Category: Data Integration
Category: Research and Design
Category: Data Storytelling
Category: Research Design
Category: Data Presentation
Category: Research Reports
Category: Business Research
Category: Research
Category: Analysis
Category: Data Literacy
Category: Research Methodologies
Category: Data Ethics
Category: Technical Communication
Category: Stakeholder Communications
Category: Report Writing
Category: Data Collection
Category: Data Synthesis
Category: Science and Research
Create a Brand Awareness Survey in Qualtrics

Create a Brand Awareness Survey in Qualtrics

Course 5, 2 hours

What you'll learn

  • Develop a Deeper Understanding of Market Research.

  • Create and Edit a Brand Awareness Survey Template in Qualtrics.

  • Finalize and Be Ready to Distribute the Brand Awareness Survey.

Skills you'll gain

Category: Brand Management
Category: Strategic Marketing
Category: Marketing
Category: Market Research
Category: Brand Awareness
Category: User Research
Category: Research
Category: Branding
Category: Brand Marketing
Category: Brand Strategy
Category: User Feedback
ChatGPT for Beginners: Using AI for Market Research

ChatGPT for Beginners: Using AI for Market Research

Course 6, 3 hours

What you'll learn

  • Practice how to use ChatGPT platform & its core features.

  • Design surveys & polls, transcribe them into multiple languages

  • Generate Blog Post

Skills you'll gain

Category: Language Interpretation, Translation, and Studies
Category: ChatGPT
Category: Content Marketing
Category: Generative AI
Category: Marketing
Category: Market Research
GenAI for Market Research Analysts

GenAI for Market Research Analysts

Course 7, 2 hours

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: Analytics
Category: Competitive Intelligence
Category: Customer Insights
Category: Competitive Analysis
Category: Trend Analysis
Category: Market Trend
Category: Market Analysis
Category: Market Intelligence
Category: Persona Development
Category: Data Ethics
Category: Data Analysis
Category: Responsible AI
Category: Prompt Patterns
Category: Customer Analysis
Category: Marketing Analytics
Category: Market Opportunities
Category: Data Synthesis
Research and Draft a Competitive Analysis

Research and Draft a Competitive Analysis

Course 8, 5 hours

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: Business Communication
Category: Marketing
Category: Business Strategy
Category: Strategic Thinking
Category: Business Research
Category: Benchmarking
Category: Market Dynamics
Category: Strategic Decision-Making
Category: Market Research
Category: Market Data
Category: Research Reports
Category: Report Writing
Category: Market Analysis
Category: Business 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: Visual Storytelling
Category: Data Presentation
Category: Data Storytelling
Category: Data Visualization Software
Category: Design Elements And Principles
Category: Driving engagement
Category: Presentations
Category: Storytelling
Category: Microsoft Excel
Category: Data Visualization
Category: Data Integrity

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Instructors

Marta Sotto-Mayor
8 Courses46,639 learners
Ranjan Relan
4 Courses18,833 learners
Starweaver
Coursera
562 Courses1,122,830 learners

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Coursera

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