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    • Qualitative Research Methods

    Qualitative Research Methods Courses Online

    Study qualitative research methods for in-depth data analysis. Learn about interviewing, focus groups, and thematic analysis techniques.

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    Explore the Qualitative Research Methods Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Digital Product Management

      Skills you'll gain: Usability Testing, Agile Product Development, New Product Development, Continuous Delivery, Agile Software Development, User Story, Product Management, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, DevOps, Customer Analysis, Innovation, Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Graphic Design

      Skills you'll gain: Typography, Design Elements And Principles, Graphic Design, Visual Design, Logo Design, Design Software, Digital Design, Creative Design, Graphic and Visual Design, Color Theory, Adobe InDesign, Photo Editing, Photography, Style Guides, Branding, Peer Review, Art History, Design, Design Strategies, Design Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM IT Scrum Master

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Agile Software Development, User Story, Sprint Retrospectives, Agile Methodology, DevOps, Software Design, Kanban Principles, Scrum (Software Development), Information Technology, Software Engineering, Computer Hardware, Software Design Patterns, Agile Project Management, Sprint Planning, Cloud Computing, Backlogs, Cloud-Native Computing, Software Development Methodologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Applied Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Forecasting, Data Processing, Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Generative AI Learning Path

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Data Ethics, Google Cloud Platform, Business Ethics, Application Development, Artificial Intelligence, Accountability, Compliance Training, Ethical Standards And Conduct, Artificial Intelligence and Machine Learning (AI/ML), Governance, Organizational Effectiveness, Machine Learning Methods, Decision Making, Corporate Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U
      I
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Data Science, GitHub, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Debugging, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Test Engineering, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Epidemiology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Artificial Intelligence, ChatGPT, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Workflow Management, Deep Learning, Machine Learning, Artificial Neural Networks, Governance, Automation, Application Deployment, Business Transformation, IBM Cloud, Applied Machine Learning, Program Development, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Methodology

      Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Data Cleansing, Business Analysis, Data Mining, Predictive Modeling, Data Quality, Data Storytelling, Analytical Skills, User Feedback, Decision Tree Learning, Stakeholder Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Quantitative Research

      Skills you'll gain: Surveys, Survey Creation, Quantitative Research, Statistical Analysis, Marketing Analytics, Market Research, Statistical Methods, Data Analysis, Marketing, Target Market, Sample Size Determination, Quality Control

      4.4
      Rating, 4.4 out of 5 stars
      ·
      337 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Business and Financial Modeling

      Skills you'll gain: Risk Modeling, Financial Statements, Probability Distribution, Mathematical Modeling, Statistical Modeling, Portfolio Management, Regression Analysis, Business Modeling, Financial Modeling, Strategic Decision-Making, Risk Management, Presentations, Decision Making, Data Visualization, Microsoft PowerPoint, Predictive Modeling, Investment Management, Data-Driven Decision-Making, Spreadsheet Software, Google Sheets

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

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    In summary, here are 10 of our most popular qualitative research methods courses

    • Digital Product Management: University of Virginia
    • Graphic Design: California Institute of the Arts
    • IBM IT Scrum Master: IBM
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Machine Learning: DeepLearning.AI
    • Introduction to Generative AI Learning Path: Google Cloud
    • Data Science Foundations: University of London
    • Data Structures and Algorithms: University of California San Diego
    • AI Foundations for Everyone: IBM
    • Data Science Methodology: IBM

    Frequently Asked Questions about Qualitative Research Methods

    Qualitative research methods are techniques used to collect non-numerical data such as video, audio, or text to better understand experiences, concepts, and opinions. There are several common approaches, all with the goal of answering questions, understanding the human side of different issues, and helping you discover how people experience the world around them. Methods may include observations, interviews, focus groups, and visual analysis. Additionally, you can take a variety of approaches for this research, including:

    • Ethnography, when researchers immerse themselves in a group to better grasp the culture • Grounded theory, which involves the collection of data on a specific topic that's used to create theories • Narrative research, during which you analyze how stories are told as a way of understanding the experiences of participants • Action research, which combines theory and practice to create change‎

    It's important to learn about qualitative research methods if you're interested in taking an active role in solving social issues and gaining better insight into human behaviors. Having a grasp on these methods enables you to thoroughly explore everything from social norms to gender roles to cultural beliefs. The data you collect provides context about the role of humans and the human experience as it applies to different issues. You'll discover how the opinions, contradictory behaviors, and emotions all play a role in various situations for a deeper understanding of a variety of subjects, including consumer behavior, how management practices impact businesses, and more.‎

    Typical careers using qualitative research methods include research assistants, project managers, research analysts, interviewers, recruiters, and human resource professionals. Honing your skills in qualitative research opens up a variety of industries to you. For example, in the medical field, qualitative research methods can be used as part of clinical studies and journal articles. In business, you can use qualitative research to develop marketing strategies and perform product testing. You might work for focus group companies, as part of a team within a business or scientific/medical practice, or on your own as a consultant. There are many career options to choose from.‎

    Online qualitative research courses on Coursera are designed to give you a combination of theoretical and hands-on knowledge to better understand the ideas behind qualitative research and how they impact social sciences along with the methods used to collect and interpret information and data. You can choose a qualitative research methods course that provides a thorough overview and the intermediate-level skills needed for data collection and analysis. You'll have a variety of course and specialization options available from Coursera's global partners, which include Emory University, University of Amsterdam, and SOAS University of London—all designed to empower you with the skills you need to start or advance your career.‎

    Online Qualitative Research Methods courses offer a convenient and flexible way to enhance your knowledge or learn new Qualitative Research Methods skills. Choose from a wide range of Qualitative Research Methods courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Qualitative Research Methods, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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