In this course, you’ll explore the dynamic integration of qualitative and quantitative approaches to create robust research designs, analyze diverse datasets, and deliver actionable solutions. Whether you're working in healthcare, education, business, or beyond, this course provides the tools and knowledge to bridge numbers with narratives effectively.

Mixed Methods Research: Bridging Qualitative & Quantitative

Mixed Methods Research: Bridging Qualitative & Quantitative
This course is part of Market Research Methods and Data Analysis Certificate Professional Certificate


Instructors: Starweaver
3,463 already enrolled
Included with
Recommended experience
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 Presentation
- Business Research
- Technical Communication
- Qualitative Research
- Research and Design
- Stakeholder Communications
- Research Methodologies
- Research Design
- Analysis
- Research Reports
- Data Collection
- Report Writing
- Data Integration
- Research
- Data Literacy
- Data Ethics
- Science and Research
- Data Storytelling
- Data Synthesis
- Quantitative Research
Details to know

Add to your LinkedIn profile
See how employees at top companies are mastering in-demand skills

Build your Research expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Coursera

There is 1 module in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Offered by
Explore more from Research
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.







