This course focuses on advanced methods for data cleaning, preparation, and optimization using AI-assisted tools. You'll learn to generate synthetic data, address privacy concerns and data limitations in your projects. Discover how to leverage AI to identify and resolve complex data quality issues, ensuring your datasets are primed for analysis. Upon completion of this course, you'll be able to: Generate synthetic data using generative AI models Implement advanced data cleaning techniques with AI assistance Optimize datasets for improved analysis efficiency Apply ethical considerations in data processing and synthetic data generation
The data dilemma: When real data isn't enough
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Skills You'll Learn
Data Cleansing, Data Quality, Data Validation, Data Ethics, Generative AI, Data Processing, Feature engineering, Data Integrity, Data Transformation, Personally Identifiable Information, Microsoft Copilot, Information Privacy, Data Synthesis
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From the lesson
Synthetic data generation
Explain the process of generating synthetic data using generative AI, identifying its applications and potential benefits in addressing data limitation
Taught By
Microsoft