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 ethics of data collection
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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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- 1 star12.50%
From the lesson
Ethical considerations in data processing
Evaluate the ethical implications of data processing and synthetic data generation, developing strategies to mitigate biases and ensure responsible and transparent data practices.
Taught By
Microsoft