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 spectrum: A data scientist's guide to choosing the right dataset
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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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3.6 (16 ratings)
- 5 stars43.75%
- 4 stars12.50%
- 3 stars12.50%
- 2 stars18.75%
- 1 star12.50%
From the lesson
Dataset preparation
Analyze the impact of data preparation on subsequent analysis and utilize generative AI tools to automate and optimize preprocessing steps, ensuring data readiness for analysis
Taught By
Microsoft