Generative AI Techniques for Data Analysis
Completed by Mario Bravo on October 9, 2025
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Badge ID: Zb4mgRAoTGS-JoEQKLxkRw
About this Badge
Explore the foundational concepts and tools of generative AI specifically tailored for data analysis. This collection will guide you through the application of AI models to analyze and interpret complex datasets, enhancing your analytical capabilities.
Learning objectives
- Craft effective prompts using techniques like zero-shot and few-shot to guide generative AI models and enhance output quality.
- Develop a portfolio-ready AI application by implementing retrieval-augmented generation (RAG) and constructing interactive interfaces.
- Differentiate between generative AI architectures and models, and apply tokenization techniques to prepare data for training.
- Demonstrate foundational Python skills by extracting, visualizing, and analyzing data using libraries like Pandas and Beautiful Soup.
Skills learned
- Artificial Intelligence and Machine Learning (AI/ML)
- Large Language Modeling
- Natural Language Processing
- Human Computer Interaction
- Content Creation
- Web Scraping
- Dashboard
- ChatGPT
- Generative AI Agents
- Application Development
- PyTorch (Machine Learning Library)
- User Interface (UI)
- User Interface (UI) Design
- Skills section collapsed. Showing 8 of 13 skills.
Learning content completed
Some of the content and skills presented have been contributed by the content provider.