Qualitative Research Methods (Coursera)

Qualitative Research Methods (Coursera)

In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. We will focus on the ingredients required for this process: data collection and analysis.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

You won't learn how to use qualitative methods by just watching video's, so we put much stress on collecting data through observation and interviewing and on analysing and interpreting the collected data in other assignments. Obviously, the most important concepts in qualitative research will be discussed, just as we will discuss quality criteria, good practices, ethics, writing some methods of analysis, and mixing methods. We hope to take away some prejudice, and enthuse many students for qualitative research.
Course 2 of 5 in the Methods and Statistics in Social Sciences Specialization

Syllabus

WEEK 1
Philosophy of Qualitative Research
Welcome to the first week of the course. We start with an introduction, followed by two lessons on the Philosophy of Qualitative Research.

WEEK 2
Observation
In the first module we discussed the philosophy of qualitative research, explaining some basic notions and general philosophical approaches. In this second module we'll discuss observation as an important method within qualitative research. What types of observation are there? How do we observe? And how do we analyse and describe our data?

WEEK 3
Good Practices & Criteria
What makes qualitative research 'good' is a rather difficult question. Different criteria are suggested, but within the field of qualitative research there is not much agreement on these criteria. However, there is quite some agreement on what good practices of qualitative research are. In this module we will start in lesson 1 with a discussion of good practices of qualitative research.

WEEK 4
Qualitative Interviewing
In this module we'll look at what a qualitative interview entails by trying to define it and by discussing different forms of interviewing behaviour.

WEEK 5
Qualitative Analysis
In previous modules we discussed how you should observe a social situation or conduct a qualitative interview. Now we will focus on what to do with your data, by discussing qualitative analysis. In this module you will try to do a qualitative analysis by interpreting your observed data and try to code it.

WEEK 6
Writing, mixing & ethics
In this module I will discuss ideas on writing in qualitative research, I will discuss mixing methods and talk about the ethical issues you should consider.

WEEK 7
Catch up week
In this module there's no new material. The only requirement in this module is that you finish up the final peer review assignment.

WEEK 8
Exam week
This is the final module, where you can apply everything you've learned up until now in the final exam. Please note that you can only take the final exam once every day, so make sure you are fully prepared to take the test. Please follow the honor code and do not communicate or confer with others taking this exam. Good luck! Once you've taken the exam, please consider doing the other courses in our specialisation track. I hope it was an enjoyable experience. If it was, please consider joining in with the Massive Open Online Research by my colleague Christian Bröer. Thanks for all your hard work, feedback and interpretations, the course team and your fellow learners really appreciate it!

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Empathy, Data, and Risk (Coursera) Coursera
University of Illinois at Urbana-Champaign

Empathy, Data, and Risk (Coursera)

Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course introduces empathy as a professional competency. It explains the psychological processes that inhibit empathy-building and the processes that determine how organizational stakeholders respond to risk.

Oct 26th 2026
4 Weeks
Qualitative Research (Coursera) Coursera
University of California, Davis

Qualitative Research (Coursera)

In this course, the second in the Market Research Specialization, you will go in-depth with qualitative market research methods, from design to implementation to analysis.What you will learn: explain limitations and risks of qualitative research; create a moderator guide and design a screening questionnaire to recruit for a focus group; demonstrate how to increase likelihood of focus group participation by effective recruiting strategies; analyze focus group data and create a focus group report following common business practices in qualitative market research.

Oct 19th 2026
4 Weeks
Fundamentos para entrevistar con confianza (Coursera) Coursera
Salesforce,SV Academy

Fundamentos para entrevistar con confianza (Coursera)

Este es el curso 2 de la certificación profesional para representantes de desarrollo de ventas de Salesforce. Para completar con éxito el curso, asegúrate de haber realizado el curso 1: Bases para el éxito en el desarrollo de ventas. El objetivo de este curso es prepararte para construir tu cartera de ventas de tecnología profesional y desarrollar y aprovechar tu marca personal y profesional. Estarás preparado para triunfar en tu entrevista y dejar una impresión duradera en tu futuro empleador. Estas habilidades te llevarán a la puerta de una empresa de tecnología de rápido crecimiento y lanzarán tu carrera de ventas de tecnología.

Oct 19th 2026
4 Weeks
社会调查与研究方法 (上)Methodologies in Social Research (Part I) (Coursera) Coursera
Peking University

社会调查与研究方法 (上)Methodologies in Social Research (Part I) (Coursera)

社会调查与研究方法,首先,是一套观察社会现象、测量社会现象的工具;其次,是一套分析和运用社会现象数据的科学方法;最高境界,则是一套针对社会、经济、教育、政治、法律、管理、公共卫生、新闻报道等人类的生产与生活现象,进行科学沟通的思维逻辑与表达方式。

Nov 2nd 2026
5-12 Weeks
Interviewing, Negotiating a Job Offer, and Career Planning (Coursera) Coursera
University of California, Irvine

Interviewing, Negotiating a Job Offer, and Career Planning (Coursera)

Prepare yourself for interviewing and landing a job in the DS/AI field. In this course, we will discuss what needs to be done before, during, and after the interview process. We will also provide tips and tricks on how to practice for a major component of data science interviews: the technical interview. Finally, this course will cover best practices for accepting or declining a job offer, salary negotiations, and how to create a career development plan.

Oct 19th 2026
4 Weeks
Quantitative Methods (Coursera) Coursera
University of Amsterdam

Quantitative Methods (Coursera)

Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity. We will use examples from sociology, political sciences, educational sciences, communication sciences and psychology.

Oct 12th 2026
5-12 Weeks
社会调查与研究方法 (下)Methodologies in Social Research (Part 2) (Coursera) Coursera
Peking University

社会调查与研究方法 (下)Methodologies in Social Research (Part 2) (Coursera)

社会调查与研究方法, 首先,是一套观察社会现象、测量社会现象的工具; 其次,是一套分析和运用社会现象数据的科学方法; 最高境界,则是一套针对社会、经济、教育、政治、法律、管理、公共卫生、新闻报道等人类的生产与生活现象,进行科学沟通的思维逻辑与表达方式。

Nov 2nd 2026
5-12 Weeks
Aeroecology: Exploring Biodiversity with Radar (Coursera) Coursera
University of Leeds

Aeroecology: Exploring Biodiversity with Radar (Coursera)

Learn how aeroecology, a discipline that studies airborne life forms, has been revolutionised with the use of radar with this unique course. This course is designed to help scientists, researchers as well as ecology enthusiasts to develop skills in using radar to explore biodiversity. You will explore the origins and evolution of radar from a military technology to a powerful tool with multiple scientific applications, including aeroecology. You will then be introduced to studying global biodiversity trends and learn how to evaluate traditional methods and emerging technologies used by scientists to monitor the natural world.

Nov 2nd 2026
2 Weeks