Generative AI Data Analyst

Overview

Master AI-powered data analysis using ChatGPT to transform raw data into insights, automate tasks, and create compelling visualizations across spreadsheets, databases, and unstructured documents.

Syllabus

- Introduction to Generative AI and ChatGPT -- Overview of Generative AI -- Understanding ChatGPT and its capabilities -- Applications of Generative AI in data analysis - Prompt Engineering for Data Analysis -- Crafting effective prompts -- Iterative refinement of AI outputs -- Case studies of successful prompt usage - Data Analysis with Spreadsheets -- Automating data cleaning using AI -- Leveraging ChatGPT for data exploration -- Creating data-driven stories with spreadsheets - Working with Databases -- Basics of database management -- Using AI tools for querying databases -- Automating ETL (Extract, Transform, Load) processes - Analyzing Unstructured Data -- Introduction to unstructured data types -- AI techniques for processing text and documents -- Generating insights from unstructured sources - Data Visualization and Storytelling -- Principles of effective data visualization -- Automated chart generation using AI -- Translating data insights into compelling narratives - Advanced AI-Powered Data Analysis Techniques -- Machine learning applications in data analysis -- Leveraging AI for predictive analytics -- Integrating AI with business intelligence tools - Case Studies and Real-World Applications -- Analyzing real-world datasets with AI -- Success stories from AI-driven data initiatives -- Ethical considerations and best practices in AI data analysis - Preparing for the Future of AI in Data Analysis -- Emerging trends in AI and data analytics -- Skills and tools for staying competitive -- Building a career as a Generative AI Data Analyst - Capstone Project -- Select a real-world data analysis problem -- Apply generative AI tools and techniques to solve the problem -- Present findings through a comprehensive report and visualization

Taught by

Dr. Jules White

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