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Qualitative Methods for Quantitative People with Generative AI
Coursera
Course
Unknown

Qualitative Methods for Quantitative People with Generative AI

Vanderbilt University

Learn to integrate qualitative analysis with quantitative skills using Generative AI to enhance data interpretation and decision-making.

Unknown7 weeksArabic, German, English, French

About this Course

Qualitative Methods for Quantitative People (with GenAI) is a course designed for individuals with a strong quantitative background who want to explore the power of qualitative analysis through the lens of Generative AI (GenAI). This course introduces foundational concepts of qualitative analysis, guiding learners through the process of interpreting concepts, experiences, and nuanced data. It emphasizes how qualitative insights complement quantitative methods, enabling more comprehensive decision-making. Throughout the course, learners will gain hands-on experience in using Large Language Models (LLMs) for tasks such as data-driven decision-making, resource allocation, and qualitative interpretation of complex information. They will explore real-world scenarios, leveraging AI to extract insights from surveys, documents, and discussions, ultimately fostering better collaboration and a deeper understanding of diverse data sets. Key topics include qualitative versus quantitative analysis, leveraging AI for creating living documents, navigating biases, and maintaining human oversight in AI-driven processes. This course is ideal for those looking to enhance their analytical toolkit with qualitative methods supported by cutting-edge AI technologies. By the end of the course, learners will have the ability to integrate qualitative methods into their existing workflows, improving how they approach decision-making and resource management in dynamic environments

What You'll Learn

  • Differentiate and apply qualitative and quantitative analysis in decision-making
  • Use LLMs to enhance qualitative analysis and data extraction
  • Develop multi-modal communication and assess context impact

Prerequisites

  • Basic computer and internet skills
  • Ability to read course instructions in English and complete exercises

Instructors

B

Bennett Landman

Director, Vanderbilt Lab for Immersive AI Translation (VALIANT)

Topics

Data Analysis
Data Science
Leadership and Management
Business
Communication
Data Storytelling
Qualitative Research
Project Management
Team Management
Resource Allocation

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
القيادة والإدارة
الأعمال
الاتصال
سرد البيانات
البحث النوعي
إدارة المشاريع
Team Management
Resource Allocation

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