Unit 1: Understanding Generative AI
Unit 2: Generative AI and the Data Lifecycle
Unit 3: Key Generative AI Models
Unit 4: Setting Up Your Environment
Generative AI for Data Analysis: Prompt Engineering, Tool Integration, and Data Analysis
Master prompt engineering and GenAI tool integration to transform raw data into actionable insights, driving data-informed decisions.
Unit 1: Understanding Prompt Engineering
Unit 2: Prompting for Data Extraction
Unit 3: Prompting for Data Cleaning and Transformation
Unit 4: Handling Different Data Formats
Unit 1: Advanced Prompting Strategies
Unit 2: Prompting for Statistical Analysis
Unit 3: Prompting for Data Summarization and Reporting
Unit 4: Prompting for Pattern, Anomaly, and Trend Identification
Unit 1: Workflow Design with GenAI
Unit 2: Automating Data Cleaning
Unit 3: GenAI for Data Exploration and Visualization
Unit 1: Defining Evaluation Metrics
Unit 2: Comparing Prompts and Models
Unit 3: Optimizing Prompts and Workflows
Unit 4: Troubleshooting and Error Handling
Unit 1: Understanding Bias in Generative AI
Unit 2: Mitigating Bias and Ensuring Fairness
Unit 3: Privacy and Security Considerations
Unit 4: Ethical Guidelines and Regulations