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

Data Literacy Capstone – Evaluating Research (Coursera) Coursera
Johns Hopkins University

Data Literacy Capstone – Evaluating Research (Coursera)

This is the final course in the Data Literacy Specialization. In this capstone course, you'll apply the skills and knowledge you have acquired in the specialization to the critical evaluation of an original quantitative analysis. The project will first require you to identify and read a piece of high-quality, original, quantitative research on a topic of your choosing. You’ll then interpret and evaluate the findings as well as the methodological approach. As part of the project, you’ll also review other students’ submissions. By the end of the project, you should be empowered to be a critical consumer and user of quantitative research.

Sep 7th 2026
3 Weeks
Cómputo evolutivo (Coursera) Coursera
Universidad Nacional Autónoma de México

Cómputo evolutivo (Coursera)

La computación evolutiva (evolutionary computation, EC), aplica la teoría de la evolución natural y la genética en la adaptación evolutiva de estructuras computacionales, proporcionando un medio alternativo para atacar problemas complejos en diversas áreas, como la ingeniería, economía, química, medicina y, porque no, las artes. Una población de posibles soluciones de un problema dado es análoga a una población de organismos vivos que evolucionan cada generación, al recombinar los mejores individuos de la población y transmitir sus características de dichos individuos padres, a sus descendientes.

Sep 7th 2026
4 Weeks
Human-Centered Design for Inclusive Innovation (Coursera) Coursera
University of Toronto

Human-Centered Design for Inclusive Innovation (Coursera)

This course introduces the principles and practices of human-centered design (also sometimes called “design thinking”) which are essential for developing innovative and inclusive products, services, processes and policies. You will learn by doing, experiencing the design process through exercises and a mini-bootcamp. In this course, you will learn about and experience key human-centered design practices: empathize, reframe, ideate, prototype and test. You will learn why human-centered design is a central component of Gender Analytics. You will develop skills in problem finding (and not just problem solving) by understanding users', stakeholders’ and beneficiaries' lived experiences.

Sep 7th 2026
4 Weeks
Data Collection: Online, Telephone and Face-to-face (Coursera) Coursera
University of Michigan

Data Collection: Online, Telephone and Face-to-face (Coursera)

This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. This is not a “how–to-do-it” course on data collection, but instead reviews the literature on survey design decisions and data quality in order to sensitize learners to how alternative survey designs might impact the data obtained from those surveys.

Sep 7th 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。

Sep 7th 2026
5-12 Weeks
Understanding Medical Research: Your Facebook Friend is Wrong (Coursera) Coursera
Yale University

Understanding Medical Research: Your Facebook Friend is Wrong (Coursera)

How can you tell if the bold headlines seen on social media are truly touting the next big thing or if the article isn't worth the paper it's printed on? Understanding Medical Studies, will provide you with the tools and skills you need to critically interpret medical studies, and determine for yourself the difference between good and bad science. The course covers study-design, research methods, and statistical interpretation. It also delves into the dark side of medical research by covering fraud, biases, and common misinterpretations of data. Each lesson will highlight case-studies from real-world journal articles.

Sep 7th 2026
5-12 Weeks
Questionnaire Design for Social Surveys (Coursera) Coursera
University of Michigan

Questionnaire Design for Social Surveys (Coursera)

This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, challenges and options for asking questions about behavioral frequencies, practical techniques for evaluating questions, mode specific questionnaire characteristics, and review methods of standardized and conversational interviewing.

Sep 21st 2026
5-12 Weeks
Thriving 101: Designing a Fulfilling Life & Career (Coursera) Coursera
University of Colorado Boulder

Thriving 101: Designing a Fulfilling Life & Career (Coursera)

Are you ready to enhance your life?  Are you craving more fulfillment and less stress?  Is it possibly time to make a career change? Before aimlessly and impulsively diving into changes in your life, it’s a smart move to take the time to learn what the science and other experts have revealed truly leads to fulfilling lives and careers.   

Sep 21st 2026
5-12 Weeks
Data Engineering Career Guide and Interview Preparation (Coursera) Coursera
IBM

Data Engineering Career Guide and Interview Preparation (Coursera)

This course is designed to prepare you to enter the job market as a data engineer. It provides guidance about the regular functions and tasks of data engineers and their place in the data ecosystem, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch.

Sep 14th 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.

Sep 7th 2026
4 Weeks
Software Developer Career Guide and Interview Preparation (Coursera) Coursera
IBM

Software Developer Career Guide and Interview Preparation (Coursera)

This course is designed to prepare you to enter the job market as a software developer. It provides guidance about the regular functions and tasks of developers, as well as the opportunities of the profession and some options for career development. It explains practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch.

Sep 7th 2026
3 Weeks
Studying Cities: Social Science Methods for Urban Research (Coursera) Coursera
Erasmus University Rotterdam

Studying Cities: Social Science Methods for Urban Research (Coursera)

Are you looking to learn more about how to conduct scientific research, specifically in an urban or local context? Then you have found the right course: Studying Cities: Social Science Methods for Urban Research by the Institute for Housing and Urban Development Studies (IHS), Erasmus University Rotterdam. During the course you will gain more insight in the different steps of the research cycle, and build a firm foundation for your own future research endeavors.

Sep 14th 2026
5-12 Weeks