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Qualitative Analysis with AI for Data Scientists

Master qualitative research methods enhanced by generative AI tools, designed specifically for professionals with quantitative backgrounds.

Master qualitative research methods enhanced by generative AI tools, designed specifically for professionals with quantitative backgrounds.

This innovative course bridges the gap between quantitative and qualitative analysis using generative AI technologies. Designed for professionals with strong quantitative backgrounds, it introduces qualitative research methods through the lens of AI tools. Students learn to leverage Large Language Models for data interpretation, decision-making, and resource allocation while maintaining critical human oversight. The curriculum emphasizes practical applications of qualitative analysis in technical environments, teaching students to extract meaningful insights from unstructured data using modern AI tools.

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Qualitative Analysis with AI for Data Scientists

This course includes

3 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Master qualitative analysis techniques using AI tools

  • Leverage LLMs for enhanced data interpretation

  • Integrate qualitative insights with quantitative methods

  • Develop AI-assisted decision-making strategies

  • Create and maintain living documents with AI

  • Optimize resource allocation using qualitative data

Skills you'll gain

qualitative analysis
large language models
decision making
data interpretation
AI integration
resource allocation
team dynamics
research methods

This course includes:

44 Minutes PreRecorded video

6 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 7 modules in this course

This innovative course explores the integration of qualitative research methods with AI-powered analysis tools across seven comprehensive modules. Students learn to balance quantitative and qualitative approaches, using Large Language Models to enhance data interpretation and decision-making. The curriculum covers key topics including qualitative analysis fundamentals, AI-enhanced data interaction, decision-making frameworks, and resource allocation strategies. Special emphasis is placed on maintaining human oversight while leveraging AI capabilities for improved analytical outcomes.

Course Welcome

Module 1 · 1 Minutes to complete

Part 1: What is Qualitative Analysis

Module 2 · 23 Minutes to complete

Part 2: Chatting with Your Data

Module 3 · 23 Minutes to complete

Part 3: Qualitative Considerations

Module 4 · 23 Minutes to complete

Part 4: Time is Our Most Valuable Asset

Module 5 · 24 Minutes to complete

Part 5: A Tale of Three Hats

Module 6 · 24 Minutes to complete

Course Wrap-Up

Module 7 · 1 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Bennett Landman
Bennett Landman

718 Students

2 Courses

Professor of Electrical and Computer Engineering at Vanderbilt University

Dr. Bennett Landman is a Professor of Electrical and Computer Engineering at Vanderbilt University, where he also serves as the Director of the Vanderbilt Lab for Immersive AI Translation (VALIANT) and leads the Medical-image Analysis and Statistical Interpretation (MASI) lab. He earned his Ph.D. in Biomedical Engineering from Johns Hopkins University in 2008, following an M.Eng. and B.S. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Dr. Landman's research focuses on medical image processing, particularly in neuroimaging, with an emphasis on diffusion-weighted magnetic resonance imaging (MRI) related to Alzheimer's disease and aging. His lab has developed a comprehensive medical image processing system that supports over 400 IRB-approved projects, handling more than 100,000 imaging sessions. Dr. Landman aims to integrate image processing technologies with electronic health data to enhance personalized medicine and improve anatomical understanding. His work has significant implications for advancing biomarkers in clinical studies and addressing challenges in medical imaging through artificial intelligence.

Qualitative Analysis with AI for Data Scientists

This course includes

3 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.