"Qualitative Research Interviews" is a beginner course for aspiring market analysts and professionals who need to uncover the "why" behind customer behavior. This course moves beyond theory to provide the practical skills needed to conduct high-quality interviews that yield deep, actionable insights. You will learn to distinguish between key qualitative methods, including interviews, focus groups, and ethnographic studies, and understand when to use each one effectively. The focus is on using interviews to inform business decisions, a common task for analysts, helping organizations clarify problems before committing to larger research projects.
The curriculum centers on the most critical tool for any interviewer: the discussion guide. Through a hands-on process, you will learn to apply a professional framework to structure your interviews, craft powerful open-ended questions, and align every part of your guide to your core research objectives. By the end of this course, you will have the confidence and practical ability to design a complete interview guide, enabling you to gather the rich, narrative data that drives meaningful product and business decisions.
Some points apply to every course of this kind; see how we rank.
Coursera is in Tier 4: commercial training companies and platform-made courses of our institution ranking (56/100). Made by the platform, often short guided projects.
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
This playlist contains video recordings of Stanford's graduate-level CS329A course. It covers the latest techniques and applications of AI agents that can continuously improve themselves through interaction with themselves and the environment. The lecture recordings start with self-improvement tech…
Harvard University · edX
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Harvard University · edX
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University · edX
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University · edX
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
