Coursera

Market Research Methods and Data Analysis Certificate Specialization

Coursera

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
Ranjan Relan
Starweaver

Instructors: Marta Sotto-Mayor

Access provided by Lok Jagruti University

3,510 already enrolled

Get in-depth knowledge of a subject

from 135 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
Get in-depth knowledge of a subject

from 135 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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Specialization - 9 course series

Introduction to Market Research

Introduction to Market Research

Course 1, 5 hours

What you'll learn

Skills you'll gain

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

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

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: R (Software)
Category: Data Ethics
Category: Statistical Analysis
Category: Data Analysis
Category: Data Collection
Category: Microsoft Excel
Category: Descriptive Statistics
Category: Quantitative Research
Category: Descriptive Analytics
Category: Statistics
Category: Research Methodologies
Category: Research
Category: Data-Driven Decision-Making
Category: Research Reports
Category: Statistical Reporting
Category: Research Design
Category: R Programming
Category: Correlation Analysis
Category: Statistical Methods

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: Data Integration
Category: Quantitative Research
Category: Qualitative Research
Category: Data Collection
Category: Research Methodologies
Category: Business Research
Category: Data Synthesis
Category: Data Literacy
Category: Data Ethics
Category: Technical Communication
Category: Stakeholder Communications
Category: Research Design
Category: Report Writing
Category: Research and Design
Category: Analysis
Category: Data Presentation
Category: Data Storytelling
Category: Science and Research
Category: Research Reports
Category: 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: Research
Category: Market Research
Category: Strategic Marketing
Category: Brand Management
Category: Marketing
Category: Brand Awareness
Category: Brand Strategy
Category: Branding
Category: User Feedback
Category: Brand Marketing
Category: User Research
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: ChatGPT
Category: Language Interpretation, Translation, and Studies
Category: Generative AI
Category: Marketing
Category: Content 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: Marketing Analytics
Category: Persona Development
Category: Analytics
Category: Customer Insights
Category: Market Analysis
Category: Customer Analysis
Category: Market Trend
Category: Market Intelligence
Category: Trend Analysis
Category: Competitive Analysis
Category: Prompt Patterns
Category: Data Ethics
Category: Data Analysis
Category: Data Synthesis
Category: Market Opportunities
Category: Responsible AI
Category: Competitive Intelligence
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 Research
Category: Market Data
Category: Market Analysis
Category: Market Research
Category: Research Reports
Category: Report Writing
Category: Market Opportunities
Category: Marketing
Category: Market Dynamics
Category: Strategic Thinking
Category: Strategic Decision-Making
Category: Business Communication
Category: Benchmarking
Category: Business Strategy

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: Visual Storytelling
Category: Data Presentation
Category: Data Storytelling
Category: Data Visualization
Category: Presentations
Category: Driving engagement
Category: Storytelling
Category: Microsoft Excel
Category: Data Integrity
Category: Design Elements And Principles

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Instructors

Marta Sotto-Mayor
8 Courses46,051 learners
Ranjan Relan
4 Courses18,644 learners
Starweaver
Coursera
560 Courses1,104,965 learners

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Coursera

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