- Information Privacy
- Data Analysis
- Data Ethics
- Model Evaluation
- Microsoft Copilot
- Generative Adversarial Networks (GANs)
- Generative AI
- Data Security
- Autoencoders
- Anomaly Detection
- Responsible AI
Generative AI for Data Science with Copilot
Completed by Rajthilak Sivakumar
January 4, 2025
6 hours (approximately)
Rajthilak Sivakumar's account is verified. Coursera certifies their successful completion of Generative AI for Data Science with Copilot
What you will learn
Define and differentiate types of generative AI models
Use Microsoft Copilot to generate code, analyze data, and build generative models
Identify practical use cases for generative AI in data science, such as data augmentation and anomaly detection
Assess the strengths and weaknesses of different generative models and understand their ethical implications
Skills you will gain
