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Understanding Synthetic Data: Methods, Tools, and Best Practices
Understanding Synthetic Data: Methods, Tools, and Best Practices
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This course, taught by Ray Poynter and Will Poynter, provides an in-depth exploration of synthetic data, covering its generation, applications, and ethical considerations. Participants will learn how synthetic data can be used with quantitative and qualitative research, and how to evaluate and implement it effectively.
Course Contents
- Introduction to Synthetic Data: Types and generation methods.
- Applications in Quantitative and Qualitative Research: Case studies and best practices.
- Tools and Technologies: Overview of AI-driven platforms.
- Ethics and Quality Assurance: Addressing privacy and bias concerns.
- Guidance for Buyers: Evaluating providers and ensuring data quality.
Who It Is For
- Market researchers
- Insight professionals
- Data analysts
- Buyers of research
- Business leaders seeking innovative research methods
Key Benefits
- Gain foundational knowledge of synthetic data
- Learn practical applications and tools
- Understand ethical considerations and quality assurance
- Access guidance for selecting reliable providers
This course is designed to equip participants with the skills needed to effectively integrate synthetic data into their research strategies.
This course is promoted jointly by ResearchWiseAI and NewMR.